KR20220010992A - Providing system for information of web site - Google Patents

Abstract

According to one embodiment of the present invention, disclosed is a website quality analysis server (200), which comprises: a website search unit (201) for searching for a website including information on a target product using one or more keywords for the target product; and a website quality analysis unit (203) for analyzing the quality of a website (website to be analyzed) searched by the website search unit (201). The website quality analysis unit (203) calculates the quality of the website to be analyzed on the target product on the basis of base data on the target product on the website to be analyzed. The base data includes evaluation data on the target product and advertisement data on the target product. Therefore, customers can purchase a desired product with the reliability.

Description

Website information provision system {PROVIDING SYSTEM FOR INFORMATION OF WEB SITE}

The present invention relates to a web site information providing system and method.

Consumers who want to purchase products online have a desire to purchase good products. It is possible to purchase a desired product after being introduced to a good product through an acquaintance, but in many cases, the product is selected and purchased through web surfing.

However, there are many web sites that provide information and advertise products online, and therefore, it is difficult for consumers to select a reliable web site.

A web site information providing system according to an embodiment of the present invention is disclosed.

A method for providing website information according to an embodiment of the present invention is disclosed.

According to an embodiment, a web site search unit 201 for searching a web site including information on the target product by using one or more keywords for the target product; and

a website quality analysis unit 203 capable of analyzing the quality of the web site searched by the web site search unit 201 - the analysis target web site -;

The website quality analysis unit 203 calculates the quality of the analysis target website for the target product based on the base data for the target product in the analysis target website,

The base data, which includes evaluation data for the target product and advertisement data for the target product, the web site quality analysis server 200 is disclosed.

According to one or more embodiments, customers who want to purchase a product may go to a high-quality website for the product and purchase the desired product with confidence.

1 is a view for explaining a web site information providing system according to an embodiment of the present invention.
2 is a view for explaining a method for providing website information according to an embodiment of the present invention.
FIG. 3 is a view for explaining the wireless care device of FIG. 1 .
4 is a view for explaining a wireless care method according to an embodiment of the present invention.
5 is a diagram for explaining a method of estimating a type of a wireless device according to an embodiment of the present invention.

The above objects, other objects, features and advantages of the present invention will be easily understood through the following preferred embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. The embodiments described below are exemplary embodiments provided to sufficiently convey the spirit of the present invention to those skilled in the art.

Definition of Terms

As used herein, the term 'software' refers to a technology that moves hardware in a computer, and the term 'hardware' refers to a tangible device or device (CPU, memory, input device, output device, peripheral device, etc.) constituting the computer. And, the term 'step' means a series of processing or operations connected in time series to achieve a predetermined goal, the term 'program' means a set of instructions that are combined to be processed by a computer, and the term 'recording medium' means a program It means a computer-readable recording medium on which a program used for installing, executing, or distributing is recorded.

In this specification, when terms such as first, second, etc. are used to describe components, these components should not be limited by these terms. These terms are only used to distinguish one component from another. Embodiments described and illustrated herein also include complementary embodiments thereof.

In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, the terms 'comprise' and/or 'comprising' do not exclude the presence or addition of one or more other components.

In the present specification, the term 'management' is used to include 'reception', 'transmission', 'storage', 'modification', and 'deletion' of data.

In this specification, 'component A and/or component B' means 'component A', 'component B' or 'component A and component B'.

In the present specification, a 'wireless terminal', a 'device', a 'system', or an 'apparatus' consists of a computer.

As used herein, 'computer' includes a computer processor and storage device, operating system, firmware, application program, communication unit, and other resources, where the operating system (OS: OPERATING SYSTEM) is other hardware, firmware, or application program (eg For example, a management program) can be operatively linked. The communication unit means a module composed of software and hardware for transmitting and receiving data with the outside. In addition, the computer processor and the memory device, operating system, application program, firmware, communication unit, peripheral devices, and other resources (including hardware resources and software resources) are operatively connected to each other. On the other hand, the description or drawings for the above-mentioned components are described or shown within the limit for the purpose of the description of the present invention.

As used herein, a reference to component 'A' transmitting information, details, and/or data to component 'B' means that component 'A' transmits directly to component 'B' or component 'A' is used in the meaning including transmission to component 'B' through at least one other component.

In the present specification, a 'fake device' refers to a device capable of reading or tampering with data of other wireless devices without permission or illegal.

In the present specification, the 'security space' refers to a physical space in which short-range wireless communication is possible within a predetermined distance (for example, 1 kilo) based on the freezing warehouse.

1 is a diagram for explaining a system for providing website information according to an embodiment of the present invention, and FIG. 3 is a diagram for explaining the wireless care device of FIG. 1 .

Referring to these drawings, the system in which the website information providing system and the wireless care device are integrated (hereinafter, “system”) according to an embodiment of the present invention is a wireless care device 100 and servers 200, 300, 400 ) may be included.

The servers 200 , 300 , and 400 may include a website quality analysis server 200 (hereinafter referred to as an 'analysis server'), a service server 300 , and a product server 400 , and these servers include It may be communicatively connected to physically include one or more devices or storage devices, operating systems, firmware, applications, communication units, and other resources, respectively, or may be configured to share some resources.

In Fig. 1, for the purpose of explanation of the present system, wireless devices 5: 5a, 5b, 5c, 5d are additionally shown.

According to the present embodiment, the analysis server 200 is connected to a wide area network through wired or wireless local area communication, so that it is possible to communicate with the service server 300 and the product server 400 . Alternatively, the analysis server 200 and the service server 300 are configured to enable wired or wireless short-range communication, or the analysis server 200 and the product server 400 are capable of wired or wireless short-range communication, or a server All of the devices 200 , 300 , and 400 may be connected to enable wired or wireless short-range communication.

For example, wired or wireless short-distance communication such as Bluetooth or Wi-Fi is possible. Although not shown in the servers 200 , 300 , and 400 , a communication module (not shown) capable of short-range wireless communication such as Bluetooth or Wi-Fi is provided, respectively.

The analysis result (quality for the website and data used for this) by the analysis server 200 is transmitted to the service server 300, and the service server 300 provides a website (quality is given) for each product. Match one or more and display it in the form of a web page. The service server 300 displays the quality of the web site corresponding to each product together in the form of a web page.

The product server 400 is one of web sites that provide information about products in a form that can be viewed through the web. The product server 400 provides the customer evaluation results (like, dislike, satisfaction, dissatisfaction, etc.) for the product, and advertisements or promotions for the product (advertisement or price discount event for sale, etc.) are provided.

The wireless care device 100 may be installed within 1 km from at least one of the servers 200 , 300 , and 400 . The wireless care apparatus 100 may detect a wireless signal of the wireless device, and detect or determine whether the detected wireless device is a fake device.

The servers 200 , 300 , and 400 may transmit data to each other.

The wireless care apparatus 100 may detect a dangerous device (hereinafter, 'fake device') capable of hacking communication between the servers 200 , 300 , 400 and block communication.

The analysis server 200 may include a website search unit 201 , a base data generation unit 205 , a website quality analysis unit 203 , and a keyword storage unit 207 .

The web site search unit 201 may search a web site including information on a desired product (hereinafter referred to as a 'target product') using one or more main keywords for the product, and the quality analysis unit 203 ) can analyze the quality of the website for the target product. In the present specification, one or more websites found for a target product are referred to as 'analysis target website'.

The web site search unit 201 may periodically or aperiodically search for the same web site, and the web site quality analysis unit 203 searches for a specific product each time the web site search unit 201 searches. You can analyze the quality of the websites you sell and advertise on a periodic or aperiodic basis.

Meanwhile, even for the same website, the quality of the website may be calculated differently depending on the type of target product. For example, the quality of the website K for the target product a and the quality of the website K for the target product b may be calculated differently. This is because the advertisement quality or evaluation of the target product a and the target product b on the website K may be different.

For example, for sunscreen products, if there is a website that advertises and sells brand A sunscreen and a website that advertises and sells brand B sunscreen, according to the present invention, according to the present invention, brand A sunscreen is The quality of a website that advertises and sells sunscreen may differ from that of a website that advertises and sells brand B sunscreen. When a customer wants to purchase sunscreen, he or she can go to a high-quality website and purchase it.

When a customer wants to purchase sunscreen, he or she can go to a high-quality website and purchase it.

In the keyword storage unit 207, one or more keywords are stored in correspondence with the target product. As such, data in which a target product and one or more keywords are matched is referred to as 'product-keyword mapping data' in the present specification. Here, the 'keyword' includes a main keyword and a quality keyword.

For example, there may be the following product-keyword mapping data for a target product called 'sunscreen agent'.

Sunscreen: sunblock, sun cream, sunblock, sunblock, sun block, Ultraviolet protection,

That is, six main keywords such as, for example, UV protection, sunscreen, sunblock, sunblock, sun block, and ultraviolet protection may be mapped with respect to the target product called sunscreen, and the website search unit 201 ) can find a website by combining (or, and) at least one of the above six main keywords for sunscreen.

The quality keywords include a common quality keyword that can be commonly used for all products and a dedicated quality keyword used only for specific product(s). The common quality keyword is always used regardless of the type of product, and the dedicated quality keyword is used only for a specific product.

The common quality keyword may be, for example, words or tags such as 'like', 'dislike', 'satisfaction', and 'dissatisfaction' used in comments or product evaluation.

The dedicated quality keyword may be, for example, a word or tag that can evaluate the quality of a sunscreen, such as 'blocking', 'sticky', or 'transparent', when the product is a sunscreen.

According to an embodiment, the product-keyword mapping data may be data obtained by mapping a target product, a main keyword, and a quality keyword (including a common quality keyword and a dedicated quality keyword).

The website quality analysis unit 203 may calculate the quality of the analysis target website for the target product. For example, the quality may be calculated in the form of a score or a grade.

According to an embodiment, the website quality analysis unit 203 may calculate the quality of the analysis target website for the target product based on the base data. The base data may be generated from the analysis target website.

The base data generation unit 205 may generate base data for the target product from data included or disclosed in the analysis target website.

The base data includes evaluation data for the target product and advertisement data for the target product (eg, data on a video, promotion, etc.).

The base data generating unit 205 may search the analysis target website using a keyword to generate evaluation data for the target product.

The base data generation unit 205 may generate evaluation data for the target product, for example, by using a search expression consisting of a combination of (common quality keyword or dedicated quality keyword) and (main keyword). For example, the evaluation data is data grouped into two or more groups.

Here, the search expression may be, for example, (like or dislike or satisfied or dissatisfied or blocking or sticky or transparent) and (UV protection or sunscreen or sunblock or sunblock or sun block or Ultraviolet protection).

The base data generating unit 205 searches and analyzes the analysis target website using the search formula for the evaluation data, and divides the search results into at least two or more groups (eg, a first group and a second group). can be grouped.

For such classification, the base data generator 205 may calculate an evaluation score by giving weight to each keyword included in the search expression, and classify according to the evaluation score. For example, a score between 91 and 100 may be classified as a first group, a score between 81 and 90 as a second group, a score between 71 and 80 as a third group, ... and so on.

An exemplary method for calculating the evaluation score when the base data generating unit 205 uses a search expression such as (like or dislike) and (UV protection or sunscreen or sunblock or sunblock or sun block or Ultraviolet protection) explain

Rating score = (number of likes)/(number of likes + number of dislikes) * 100

Although this example is extreme, it is sufficient to understand how the base data generation unit 205 calculates the evaluation score.

The base data generating unit 205 may search the analysis target website using a keyword, and may generate advertisement data for the target product by analyzing the search result.

The base data generating unit 205 may generate advertisement data for the target product by, for example, searching the analysis target website using a keyword expression consisting of 'and combination' of (exclusive quality keyword and main keyword). have. The base data generating unit 205 is a word representing a moving picture (eg, avi, wmv, asf, mov, fiv, mp4) from a result of a search using a keyword expression consisting of a combination of a dedicated quality keyword and a main keyword. The advertisement score is calculated according to the number and time of data appended with , and grouped into two or more groups according to the advertisement score. For example, according to the advertisement score, it may be classified into a first-place group, a second-place group, a third-place group, .. and the like.

The base data generating unit 205 calculates, for example, an advertisement score for a target product in the analysis target website based on the following criteria.

The base data generator 205 may calculate the advertisement score according to, for example, the playback time of the video, the number of videos, the number of videos from which video producers are different, and/or the number of times of playing the video, and the like.

The website quality analysis unit 203 may evaluate the quality of the target product based on the evaluation data generated by the base data generation unit 205 .

The website quality analysis unit 203 evaluates the quality based on the base data generated using keywords, for example, when the sunscreen is a product.

The website quality analysis unit 203 may evaluate the quality of the target product with reference to the data grouped by the evaluation score and the data grouped by the advertisement score.

The web site quality analysis unit 203 may evaluate the quality by a score or a group grouped by a score.

For example, when both the evaluation score and the advertisement score are in the first place group, the quality score may be calculated between 91 and 100 points. Alternatively, when both the evaluation score and the advertisement score are the first-class group, the quality group may be calculated as the first-class.

For example, when the evaluation score is the first group and the advertisement score is the second group, the quality score may be calculated between 81 and 90 points. Alternatively, in this case, the quality group may be calculated as two grades.

2 is a view for explaining a method for providing website information according to an embodiment of the present invention.

Referring to FIG. 2 , the method for providing website information according to an embodiment of the present invention includes the steps of registering a keyword for a product (S10), searching a website (S30), and content of products included in the website. It may include a step of analyzing (S50), a step of determining the quality of the website (S70), and a step of introducing the website for which the quality is determined (S90).

Assuming that the method for providing website information according to an embodiment of the present invention is applied to the system described with reference to FIG. 2, a method for providing website information according to an embodiment of the present invention will be described.

The step of registering a keyword for the product (S10) is a step of storing the keyword in a computer-accessible storage device. The keywords include a main keyword and a quality keyword. For this, refer to the description of FIG. 1 .

The step of searching the web site ( S30 ) is a step in which the web site search unit 201 searches for one or more web sites including information on the target product by using the main keyword.

The step of analyzing the contents of the product included in the website (S50) is a step of generating the base data by the base data generating unit 205. For example, it is a step in which the base data generator 205 searches for data included in the analysis target website using keywords, calculates evaluation scores and groups them, and calculates and groups advertisement scores.

The step of determining the quality of the website (S70) is a step of calculating the quality of the website for the target product from the base data. Quality may be a score or grouping.

The step of introducing the quality-determined web site ( S90 ) is a step in which the service server 300 displays the web site to which the quality is given for each product as a web page.

FIG. 3 is a view for explaining the wireless care device of FIG. 1 .

Hereinafter, the operation of the wireless care device 100 will be described in more detail with reference to FIGS. 1 and 3 .

The wireless care apparatus 100 may monitor communication of the wireless device 5 and may also perform short-range wireless communication.

For example, the wireless device 5 may communicate according to a short-range wireless communication technology standard such as Bluetooth or Wi-Fi.

The wireless device 5 is a device that may adversely affect the refrigeration apparatus 200 and the IoT control apparatus 300 , and the wireless care apparatus 100 may select a fake device from the wireless device 5 .

The wireless device 5 may be a device such as a smart phone or a laptop capable of wireless communication, but is not limited thereto.

The wireless care apparatus 100 may perform a type estimation operation and a fake device selection and blocking operation.

As will be described later, the communication unit 109 (refer to FIG. 3 and its description) included in the wireless care apparatus 100 may detect wireless signals output by the wireless device 5 . Here, the wireless signal may be, for example, a signal output for Bluetooth communication or a signal output for Wi-Fi communication. The wireless care apparatus 100 may select one or more devices as a target device according to a predetermined criterion among the devices detected by the communication unit 109 . Here, the predetermined criterion may be signal strength.

As will be described later, the diagnostic module 102 (refer to FIG. 3 and its description) included in the wireless care apparatus 100 can estimate the type of the target device 5 , and also the target device 5 , for example. It may be determined whether is a fake device.

In this embodiment, the number of wireless devices 5 is shown as four each, but this number is exemplary and may be less or more. Hereinafter, assuming that the wireless device 5 is a target device, a type estimation operation, a fake device selection operation, and a blocking operation will be sequentially described.

type estimation behavior

This is an operation of estimating the type of the target device 5 .

In the present embodiment, the diagnosis module 102 may perform a port scanning operation, a protocol scanning operation, and a type estimation operation.

The port scanning operation is to find an open port of the target device 5 . That is, the port scanning operation is an operation of checking which ports are open for each of the target device 5a, the target device 5b, the target device 5c, and the target device 5d.

The port scanning operation may be performed, for example, by techniques called full scanning (FULL SCNNING) or stealth scanning (STEALTH SCANNING). Pool scanning is a technique to check open ports by establishing a perfect TCP session. Stealth scanning is a type of half scan technology, and when a packet for port confirmation is sent and a response to the packet for port confirmation comes, the port that responded is open, and if there is no response, the port is closed. judge to be Stealth scanning may be, for example, FIN, NULL, or XMASH.

A port is a logical unit that identifies a network service or a specific process, and a protocol using a port is, for example, a transport layer protocol. Examples of transport layer protocols may be Transmission Control Protocol (TCP) and User Datagram Protocol (UDT). Ports are identified by a number, and these numbers are called port numbers. For example, a port number is used with an IP address.

Port numbers can be classified into three types, for example.

port number port type 0 to 1023 well-known port 1024 ~ 49151 registered port 49152 ~ 65535 dynamic port

Meanwhile, representative examples of well-known ports are as follows.

- No. 20: FTP(data)

- No. 21: FTP (control)

- No. 22: SSH

- #23: Telnet

- 53 : DNS

- #80: World Wide Web HTTP

- 119 : NNTP

- No. 443: TLS/SSL HTTP

Those skilled in the art to which the present invention pertains (hereinafter, referred to as 'a person skilled in the art') will readily recognize that these port numbers and port types are exemplary.

For the purpose of the description of the present invention, the open port of the target device 5a is port 80, the off port of the target device 5b is port 23, and the open port of the target device 5c is port 5555, and , it is assumed that the open port of the target device 5d is port 5559.

The port scanning operation is an operation of finding an open port of the target device 5 . For example, through the port scanning operation of the diagnostic module 102, the open port of the target device 5a is port 80, the off port of the target device 5b is port 23, and the It is found that the open port is port 5555, and the open port of the target device 5d is port 5559.

A protocol scanning operation is an operation to know the type of protocol used in an open port. Here, the open port is found by the port scanning operation. For example, the diagnostic module 102 finds out what protocol is used in port 80, which is an open port of the target device 5a.

In addition, the diagnostic module 102 includes a protocol used in port 23 of the target device 5b, a protocol used in port 5555 of the target device 5c, and port 5559 of the target device 5d. Find out what each protocol is.

The protocol scanning operation performed by the diagnostic module 102 includes an operation of confirming the type of an open port, an operation of writing a packet to be sent to an open port according to the type of the open port (hereinafter, 'protocol confirmation packet'), and a protocol and transmitting a confirmation packet to the wireless device having the open port, and confirming whether a response is received from the wireless device that has transmitted the protocol confirmation packet.

The protocol confirmation packet may be, for example, a script.

The operation of confirming the type of the open port is an operation of confirming the type of the open port found by the port scanning operation. For example, the operation of determining the type of the open port is an operation of determining whether the open port corresponds to one of a well-known port, a registered port, or a dynamic port. to be. In order to perform the operation to check the type of open port, data (eg, <Table 1>) in which the type of port is classified according to the port number (hereinafter, 'port type data') must be prepared in advance. Such 'port type data' may be stored and managed by the wireless care device 100 .

According to an embodiment, the diagnosis module 102 may know the type of the open port by referring to 'port type data'. For example, in the diagnostic module 102, port 80 of the target device 5a and port 23 of the target device 5b are well-known ports, and port 5555 of the target device 5c And it can be seen that port 5559 of the target device 5d is a dynamic port.

The diagnostic module 102 performs an operation of creating a protocol confirmation packet suitable for the type of open port.

For example, since port 80 of the target device 5a is a well-known port that uses the World Wide Web HTTP protocol, a packet for protocol confirmation is created using the Web HTTP protocol and the target device ( 5a). If there is a response from the target device 5a to the packet for checking the protocol written using the web HTTP protocol, the diagnosis module 102 determines that port 80 of the target device 5a uses the web HTTP protocol.

On the other hand, if there is no response from the target device 5a to the packet for checking the protocol written using the web HTTP protocol, the diagnosis module 102 determines that port 80 of the target device 5a does not use the web HTTP protocol. . In this case, the diagnostic module 102 uses a protocol other than the World Wide Web HTTP protocol to create a protocol confirmation packet and then transmits it to the target device 5a.

If there is a response from the target device 5a to the protocol confirmation packet written in a protocol other than the web HTTP protocol, the diagnosis module 102 determines that port 80 of the target device 5a uses the other protocol. If there is no response from the target device 5a to the protocol confirmation packet written in the protocol other than the web HTTP protocol, the diagnostic module 102 determines that port 80 of the target device 5a does not use the other protocol. decide not to Thereafter, the target device 5a creates and transmits a protocol confirmation packet using another protocol until a response is received from the target device 5a. The diagnostic module 102 finds out the type of protocol actually used in each open port of the target device 5 by the above-described method.

The diagnosis module 102 is configured to estimate each type of the target device 5 by using at least one result of the performance result of the port scanning operation and the protocol scanning operation described above. A type estimation operation is performed.

According to an embodiment, the type estimation operation performed by the diagnosis module 102 includes an operation of estimating a service type from a protocol type found as a result of performing a protocol scan operation, and the estimated service. and estimating the type of the wireless device from the type of .

The operation of estimating the type of service from the type of protocol is based on the experience that a protocol mainly used for each service is generally determined. For example, the RTSP, RTP, or RTCP protocol mainly supports streaming services. That is, when data defining services mainly supported for each protocol (hereinafter, 'protocol-service mapping data' is prepared, the diagnostic module 102 uses 'protocol-service mapping data' to provide services from the type of protocol) The type of 'protocol-service mapping data' may be stored and managed by the wireless care device 100 .

The operation of estimating the type of the target device 5 from the type of service is also based on the experience that a service mainly used for each type of wireless device is generally determined. For example, the RTSP, RTP, or RTCP protocol mainly supports streaming services, which are provided by wireless devices such as, for example, IP TVs. That is, when data defining the types of wireless devices mainly provided for each service (hereinafter, 'service-type mapping data' is prepared, the diagnosis module 102 uses the 'service-type mapping data' to The type of the wireless device may be estimated from the type 'service-type mapping data' may be stored and managed by the wireless care apparatus 100 .

Meanwhile, the response to the protocol confirmation packet may include at least one of banner information and service information of the target device 5 .

Banner information included in the response to the protocol confirmation packet typically includes data indicating what type of operating system is used in the target device 5 . The diagnosis module 102 may know the type of service or estimate the type of the target device 5 if the type of the operating system is known.

Examples of the operating system used in the target device 5 include Tizen, Brillo, Fuchsia, or LiteOS. Here, Tizen is an open-source mobile operating system that supports portable devices such as mobile phones and wireless devices such as TVs and refrigerators, and Brillo is an Android-based embedded operating system announced by Google, and Puke Fuchsia is an operating system being developed by Google to support embedded systems, PCs, smartphones, and wireless devices, and LiteOS is an operating system developed by Huawei for wireless devices, such as smart homes, wearable devices, or It is an operating system for supporting various wireless devices such as smart cars.

Service information included in the response to the protocol confirmation packet typically includes data indicating the type of the target device. For example, the service information may include data such as 'My iPhone', and this data is information directly indicating the type of the target device.

According to an embodiment, the type estimation operation performed by the diagnosis module 102 includes at least one of banner information and service information of the target device and the aforementioned port scanning operation. At least one execution result of the execution result of the protocol scanning operation and the execution result of the protocol scanning operation is used.

For example, the type estimation operation performed by the diagnosis module 102 includes a first estimation operation, a second estimation operation, a comparison operation, and a type determination operation.

The first estimating operation is an operation of estimating the service type from the protocol type obtained by the protocol scanning operation. For an exemplary description of the first estimating operation, refer to a description referring to the RTSP, RTP, or RTCP protocol.

The second estimating operation is an operation of estimating the type of service using at least one of banner information and service information of the target device 5 . Exemplary descriptions of the second estimated motion include the description part referring to Tizen, Brillo, Fuchsia, or LiteOS and the description referring to My iPhone. Please refer to the section

The comparison operation is an operation of comparing the type of service estimated by the first estimating operation with the type of service estimated by the second estimating operation.

In the type determining operation, when the type of service estimated by the first estimating operation and the type of service estimated by the second estimating operation are different from each other, the target device 5 from the type of service estimated by the second estimating operation determines the type of , and when the type of service estimated by the first estimating operation and the service type estimated by the second estimating operation are the same, the type of service estimated by the first estimating operation or the second estimating operation It is an operation of estimating the types of target devices 5 from .

On the other hand, when there is no banner information and service information of the target device 5 or there is no data for estimating the type of service in the banner information and service information, the type estimation operation (Type Assumption) is , including a first estimating operation and a type determining operation. That is, the type estimation operation may be performed only with the first estimating operation and the type determining operation without performing the second estimating operation and the comparing operation.

Fake Device Selection Behavior

The fake device selection operation is an operation of selecting a fake device from among the target devices 5 .

In this embodiment, the diagnostic module 102 determines whether each of the target devices 5 is a fake device.

For example, the diagnostic module 102 determines whether the target device 5a among the target devices 5 is a fake device, and determines whether the target device 5b is a fake device, and the target device ( It may be determined whether the device is a fake device with respect to 5c), and whether it is a fake device with respect to the target device 5d may be determined. Here, the order is exemplary, and a person in the technical field to which the present invention pertains (hereinafter, 'person skilled in the art') will be able to determine the order according to the situation when implementing the present invention.

The diagnosis module 102 attacks a vulnerability according to the type of the target device to be determined whether it is a fake device, and the diagnosis module 102 determines whether the attack on the target device succeeds or not, It is determined whether is a fake device.

Typically, the vulnerability of a wireless device refers to a weakness that an attacker uses to lower the information assurance of the device. In Wikipedia (https://en.wikipedia.org/wiki/Vulnerability), the vulnerability is defined as “Vulnerability　refers to the inability (of a system or a unit) to withstand the effects of a hostile environment”. In the specification, it will be used as defined in such Wikipedia.

For example, when the target device 5a is a 'target device', the diagnosis module 102 determines whether the target device 5a is a fake device according to whether the attack on the vulnerability of the target device 5a succeeds. can be judged That is, the diagnosis module 102 determines that the target device 5a is not a fake device if the attack on the vulnerability of the target device 5a succeeds, and the attack on the vulnerability of the target device 5a does not succeed. If not, it is determined that the target device 5a is a fake device.

The diagnosis module 102 selects a vulnerability according to each type of the target device 5, attacks each of the target devices 5 using the selected vulnerability, and based on the result of the attack, the target device 5 A fake device may be selected from among them.

The diagnosis module 102 according to another embodiment of the present invention estimates each type of the target device 5, attacks a vulnerability corresponding to each estimated type, and based on the attack result, the target device ( 5), a fake device may be determined.

In the above-described embodiments, the diagnosis module 102 may generate a vulnerability attack message according to the type of the target device 5 by referring to data corresponding to the vulnerability for each type ('vulnerability data for each type'). The vulnerability data for each type may be stored and managed by the storage device 113 (to be described later) provided in the wireless care device 100 . Alternatively, the vulnerability data for each type may be stored and managed in an external storage device (not shown) that is communicatively connected so that the wireless care device 100 is accessible.

In the above-described embodiments, the operation of selecting a vulnerability according to the type of the target device 5 may be an operation of finding a vulnerability corresponding to the type of the target device by referring to the vulnerability data for each type.

In the above-described embodiments, the diagnosis module 102 may generate a vulnerability attack message according to the type of the target device 5 by referring to data corresponding to the vulnerability for each type ('vulnerability data for each type'). The vulnerability data for each type may be stored and managed by the storage device 113 (to be described later) provided in the wireless care device 100 . Alternatively, the vulnerability data for each type may be stored and managed in an external storage device (not shown) that is communicatively connected so that the wireless care device 100 is accessible.

In the above-described embodiments, the operation of selecting a vulnerability according to the type of the target device 5 may be an operation of finding a vulnerability corresponding to the type of the target device by referring to the vulnerability data for each type.

In the above-described embodiments, the operation of attacking the vulnerability of the target device 5 may be, for example, the operation of the diagnosis module 102 transmitting a message for attacking the vulnerability to the target device.

In the above-described embodiments, the diagnosis module 102 determines that the target device is not a fake device when the target device responds to the vulnerability attack, and when the target device does not respond to the vulnerability attack, the target device It may be determined that the device is a fake device.

Hereinafter, vulnerabilities of wireless devices and messages for attacking vulnerabilities will be described by way of example.

For example, the target device may be a router having the following types of vulnerabilities.

. Vulnerability: An unauthorized attacker could access the URL "/category_view.php" with the HTTP GET method

. Vulnerability attack message: GET/category_view.php

As another example, the target device may be a router having the following types of vulnerabilities.

ㆍVulnerability: An unauthorized attacker could access the URL "/mydlink/get_TriggeredEventHistory.asp" with HTTP GET method

. Exploit message: GET/mydlink/get_TriggeredEventHistory.asp

As another example, the target device may be a router having the following types of vulnerabilities.

. Vulnerability: An unauthorized attacker may access the URL "/router_info.xml?section=wps" with the HTTP GET method to obtain information such as the PIN and MAC address of the target device.

. Vulnerability attack message: GET/router_info.xml?section=wps

As another example, the target device may be a router having the following types of vulnerabilities.

. Vulnerability: When an unauthorized attacker accesses the "/wpsacts.php" URL with the HTTP POST method, it may be possible to insert script statements into the data.

. Vulnerability attack message: GET//wpsacts.php

As another example, the target device may be a DVR having the following types of vulnerabilities.

. Vulnerability: A vulnerability where a backdoor exists for the default / tluafed account.

. Vulnerability attack message: POST/Login. htm

As another example, the target device may be a DVR having the following types of vulnerabilities.

. Vulnerability: When an unauthorized user accesses the URL "/device.rsp?opt=user&cmd=list" using the HTTP GET method, the administrator account is exposed in plain text.

ㆍ Message for vulnerability attack: GET/device.rsp?opt=user&cmd=list

According to embodiments of the present invention, even if the target device has the same type of function, if the vulnerability is different, the target device is treated as a different type. For example, the aforementioned routers have different vulnerabilities, and thus are distinguished into different types of target devices. In addition, when the above-described digital video recorders (DVRs) also have different vulnerabilities, they are classified as different types of target devices. For another example, if the target device has the same manufacturer and the same type of device has different firmware, it is treated as a different type.

According to an embodiment of the present invention, the 'vulnerability data for each type' may be data corresponding to vulnerabilities for each type of target device. When the vulnerability data for each type is stored and managed, the diagnosis module 102 attacks the vulnerability of the target device with reference to the vulnerability data for each type.

Alternatively, the 'vulnerability data by type' may be data corresponding to a 'vulnerability attack message' for each type of target device.

According to another embodiment of the present invention, vulnerability data for each type may not be prepared in advance. In this embodiment, the diagnosis module 102 may directly generate a vulnerability attack message corresponding to the type of the target device (eg, so that the vulnerability attack unit 110 can directly generate a vulnerability attack message for each type) if configured).

blocking action

The blocking operation is an operation of blocking communication of the fake device.

The blocking operation is an operation of blocking communication of the fake device by performing a DDoS attack on the fake device.

For example, the diagnostic module 102 transmits a large number of messages to the fake device, and the fake device that has received the large number of messages is unable to communicate with other devices in response to the message. As such, the diagnosis module 102 may block communication of a target device having a vulnerability.

For example, assuming that the wireless device 5a is a fake device, the diagnosis module 102 blocks communication of the Bluetooth device by performing a DDoS attack on the fake device 5a. That is, the diagnosis module 102 transmits a large amount of messages to the fake device 5a, so that the fake device 5a that has received the large amount of messages cannot communicate with other Bluetooth devices in response to the message. As such, the diagnostic module 102 may block communication only with the fake device 5a.

Hereinafter, a wireless care device 100 according to an embodiment of the present invention will be described with reference to FIG. 3 .

The wireless care device 100 of the present invention includes a port scanning unit 101, a protocol scanning unit 103, a type estimating unit 104, a determining unit 108, an operating system 107, a communication unit 109, and a vulnerability attack. It may include a unit 110 , a computer processor 111 , a peripheral device 112 , a storage device 113 , and a memory 115 . Meanwhile, the port scanning unit 101 , the protocol scanning unit 103 , the type estimating unit 104 , the determining unit 108 , and the vulnerability attack unit 110 will be collectively referred to as the diagnosis module 102 .

The diagnosis module 102 may perform the type estimation operation, the fake device selection operation, and the blocking operation described with reference to FIG. 1 . Specifically, the port scanning unit 101 performs a port scanning operation, the protocol scanning unit 103 performs a protocol scanning operation, the type estimating unit 104 estimates the device type, and the determining unit 108 may perform a fake device selection operation and a blocking operation. Please refer to the above-mentioned part for each of these operations.

The port scanning unit 101 performs the aforementioned port scanning operation. The port scanning unit 101 creates a port confirmation packet, transmits the port confirmation packet to the wireless device 5 through the communication unit 109, checks whether a response to the port confirmation packet is received, and confirms that the wireless device ( 5) determines the open port.

The protocol scanning unit 103 performs the protocol scanning operation described above. The protocol scanning unit 103 creates a protocol confirmation packet, transmits the protocol confirmation packet to the wireless device 5 through the communication unit 109, checks whether a response to the protocol confirmation packet is received, and opens It determines the protocol actually used on the port.

The vulnerability attack unit 110 transmits the vulnerability attack message to the target device through the communication unit 109 , and the determination unit 108 checks whether there is a response to the vulnerability attack message, and if there is a response, the target device is a fake device. , and if there is no response, it is determined as a fake device.

The operating system 107 is software that not only manages hardware but also provides a hardware abstraction platform and common system services to execute application software, and the storage device 113 and memory 115 are spaces for storing and executing programs, respectively. It includes a recording medium that provides The computer processor 111 is a central processing unit (CPU), and the central processing unit is a control device of a computer that controls a computer system and executes a program operation, or a chip having a built-in function thereof.

The memory 115 and/or the storage device 113 provides a space in which a program is stored or executed, and is necessary for the operation of the present invention, such as protocol-service mapping data or service-type mapping data. data can be stored.

The memory 115 and/or the storage device 113 may also temporarily and/or permanently store various data. For example, the memory 115 and/or the memory device 113 may store a vulnerability attack message.

The type estimator 104 performs the above-described type estimation operation.

According to an embodiment, the type estimator 104 includes at least one of banner information and service information of the wireless device 5 , an operation result of the port scanning unit 101 , and a protocol scanning unit At least one operation result among the operation results of (103) is used.

According to another embodiment, at least one result of the operation result of the port scanning unit 101 and the operation result of the protocol scanning unit 103 is used. Since detailed descriptions of these embodiments have been described above, they will be omitted.

According to an embodiment, the type estimation result of the type estimator 104 is stored in the memory device 113 and/or the memory 115 . The type estimation result is data corresponding to a type for each wireless device 5 . On the other hand, the memory device 113 and/or the memory 115 may also store vulnerability data for each type. Vulnerability data by type (data corresponding to vulnerabilities by type) is used to find the vulnerability of the target device type.

The vulnerability attack unit 110 may generate a vulnerability attack message by referring to the vulnerability data for each type to find a vulnerability corresponding to the type of the target device. Thereafter, the vulnerability attack message is transmitted to the target device through the communication unit 109 . After checking whether there is a response to the vulnerability attack message, the determination unit 108 determines that the target device is not a fake device if there is a response, and determines that the target device is a fake device if there is no response.

All or at least a part of the port scanning unit 101 may be configured as a program. The part composed of the program is loaded into the memory 115 and performs a port scanning operation under the control of the computer processor 111 . Other components, for example, the protocol scanning unit 103 and the type estimating unit 104 may also be configured in the same manner as the port scanning unit 101 to perform their own operations. Meanwhile, since detailed descriptions of the port scanning operation, the protocol scanning operation, and the type estimation operation have been described above, they will be omitted herein.

As described above, the wireless care device 100 according to the present invention has been described. When the wireless care apparatus 100 is organically combined with the conventional technology for selecting fake devices, more accurate results can be obtained. For example, when it is desired to determine whether a target device is a fake device, a prior art (eg, Korea Patent No. 10-1563213 (2015. 10. 20) (the content disclosed in this registered patent is To the extent not inconsistent with the present invention, a fake device is first determined by the technology disclosed in the present specification) and secondarily, a fake device according to the present invention is selected. Address), SSID (Service Set Identifier), or channel, etc., is a technique to determine that the unique information of the wireless device has been modulated, but if the modulated information is modulated to contradict each other, it is determined as a fake device. If a fake device modulates all of its information without contradiction, it is difficult to determine whether a fake device is a fake device with the technology disclosed in the Korean Patent Registration. This is because a fake device can tamper with information such as MAC Address, Service Set Identifier (SSID), or channel, but not the firmware.

3 is a view for explaining a wireless care method according to an embodiment of the present invention. The wireless care method according to an embodiment of the present invention is for discriminating a fake device from among target devices (also referred to as 'target devices') close to the refrigeration apparatus 200 and the IoT control apparatus 300 .

Referring to FIG. 3 , a wireless care method according to an embodiment of the present invention includes estimating a type of a target device ( S100 ); selecting a vulnerability according to the type of target device (S300); attacking the vulnerability selected in step S300 (S400); and determining whether the target device is a fake device according to whether the attack on the target device is successful ( S500 ).

The wireless care method according to an embodiment of the present invention may further include a step (S200) of storing and managing vulnerability data for each wireless device type that corresponds to a vulnerability for each wireless device type.

The above-described step of selecting the vulnerability ( S300 ) includes an operation of finding a vulnerability corresponding to the type of the target device by referring to the vulnerability data for each wireless device type.

The above-described step of attacking the target device (S400) may be a step of generating a vulnerability attack message for attacking the vulnerability selected in the step (S300) of selecting a vulnerability according to the type of the target device and transmitting the message to the target device.

In the step S500 of determining whether the above-described target device is a fake device, when the target device responds to the vulnerability attack message, it is determined that the target device is not a fake device, and the target device responds to the vulnerability attack message. If there is no response, it may be a step of determining that the target device is a fake device.

Hereinafter, it is assumed that the wireless care method according to an embodiment of the present invention is applied to the wireless care apparatus 100 described with reference to FIGS. 1 and 3 .

For the step of estimating the type of the target device ( S100 ), refer to the description with reference to FIG. 4 .

The step (S200) of storing and managing vulnerability data by type is a step in which the wireless care apparatus 100 stores and manages the result of the step (S100) of estimating the type of the target device in a recording medium. Meanwhile, it is also possible for a computer (not shown) other than the device 100 to perform step S100.

The step of selecting a vulnerability ( S300 ) is a step in which the wireless care apparatus 100 selects a vulnerability according to the type of the target device. For example, the vulnerability attack unit 110 may select a vulnerability according to the type of the target device estimated by the type estimator 104 . To this end, the memory device 113 stores vulnerability data for each type, and the vulnerability attack unit 110 may select a vulnerability corresponding to the type of the target device by referring to the vulnerability data for each type.

The step of attacking the target device ( S400 ) is a step in which the wireless care apparatus 100 attacks the vulnerability of the target device. For example, the vulnerability attack unit 110 transmits a vulnerability attack message to the target device. The vulnerability attack message is generated based on the vulnerability data selected according to the type of the target device. The vulnerability attack unit 110 may directly generate a message for vulnerability attack.

In the step of determining whether the target device is a fake device (S500), for example, the determination unit 108 of the wireless care apparatus 100 determines whether the target device is a fake device when the target device responds to the vulnerability attack message. When it is determined that the device is not a device and the target device does not respond to the vulnerability attack message, it may be determined that the target device is a fake device.

As described above, the method of determining whether the target device described with reference to FIG. 3 is a fake device may be implemented by, for example, a computer program. That is, a program for executing all or some steps of each step constituting the method of determining whether the target device described with reference to FIG. 3 is a fake device in the apparatus described with reference to FIGS. 1 to 3 can be read by a computer. It may be stored in a recording medium. The program for executing all or some of the steps constituting the method according to the embodiment of the present invention stored in the recording medium in the apparatus 100 is loaded into the memory 115 under the control of the computer processor 111, can be executed

For example, according to an embodiment of the present invention, the method comprising: attacking a vulnerability of a target device that is a target for determining whether it is a fake device; and determining whether the target device is a fake device according to whether the attack on the vulnerability of the target device succeeds. A recording medium is provided.

In another example, estimating the type of the target device (S100); selecting a vulnerability according to the type of a target device to be determined whether it is a fake device (S300); attacking the vulnerability selected in step S300 (S400); And according to whether the attack on the target device succeeds, a program for executing the wireless care method comprising the step (S500) of determining whether the target device is a fake device in the apparatus 100 can be read by a computer A recording medium is provided.

4 is a diagram for explaining a method of estimating a type of a wireless device according to an embodiment of the present invention.

Referring to FIG. 4 , the method of estimating the type of a wireless device according to an embodiment of the present invention includes a port scanning step (S110) of finding an open port of a target device, a port scanning step ( Based on the results of the protocol scanning step (S120), the above-described scanning steps (S110, S120) to find the protocol used in the open port found as a result of the port scanning step (S110) Thus, it may include a Type Assumption step (S130) of estimating the type of the target device.

Hereinafter, it is assumed that the method for estimating the type of a wireless device according to an embodiment of the present invention is applied to the apparatus 100 described with reference to FIGS. 1 and 3 , and A method of estimating the type will be described.

The port scanning step S110 is to find an open port of the wireless device 5 . That is, the port scanning step S110 is a step of performing the port scanning operation described with reference to FIGS. 1 and 3 .

Also in this embodiment, for the purpose of explanation of the present invention, the open port of the wireless device 5a is port 80, the off port of the wireless device 5b is port 23, and the open port of the wireless device 5c is is port 5555, and it is assumed that the open port of the wireless device 5d is port number 5559

The port scanning step S110 is to find an open port of the wireless device 5 . For example, as a result of performing the port scanning step (S110), the open port of the wireless device 5a is port 80, the off port of the wireless device 5b is port 23, and the open port of the wireless device 5c is port 5555, and it is known that the open port of the wireless device 5d is port number 5559.

The protocol scanning step S120 is a step for knowing the type of protocol actually used in the open port. That is, the protocol scanning step S120 is a step of performing the protocol scanning operation described with reference to FIGS. 1 and 2 . On the other hand, the open port is obtained as a result of the port scanning step (S110).

For example, in the protocol scanning step S120 , an operation of finding out the type of protocol used in port 80, which is an open port of the wireless device 5a, is performed. In addition, in the protocol scanning step (S120), the protocol used in port 23 of the wireless device 5b, the protocol used in port 5555 of the wireless device 5c, and port 5559 of the wireless device 5d are used It performs the operation of finding out what protocol is used. As such, the protocol scanning step S120 is a step of finding out the types of protocols actually used for all open ports of the wireless device 5 .

The protocol scanning step (S120) includes the steps of checking the type of the open port, creating a packet for checking the protocol, transmitting the packet for checking the protocol to the target device having the open port, and transmitting the packet for checking the protocol and checking whether a response exists from a target device. On the other hand, the step of confirming the type of the open port is a step of performing the above-described operation of checking the type of the open port, and the step of writing the packet for checking the protocol is performing the operation of creating the packet for checking the protocol and the step of checking whether a response is received from the target device is a step of performing an operation of checking whether a response is received from the above-described target device. Therefore, a more detailed description of these steps will be omitted.

In the step of checking the type of open port, it is checked whether the open port obtained by the port scanning operation corresponds to a well-known port, a registered port, or a dynamic port. perform the action

According to one embodiment, the step of checking the type of the open port. By referring to the port type data, an operation of finding out the type of the open port obtained by the port scanning operation is performed.

According to an embodiment, the step of creating the protocol confirmation packet includes creating the protocol confirmation packet according to the type of the open port.

For example, in the step of creating a packet for protocol confirmation, port 80 of the wireless device 5a is a well-known port using the World Wide Web HTTP protocol, so the Executes the operation of creating a packet for protocol confirmation.

In addition, in the step of creating the protocol confirmation packet, if there is no response to the protocol confirmation packet created using the web HTTP protocol from the wireless device 5a, port 80 of the IoT device 5a uses the web HTTP protocol It decides not to do so, and uses a protocol other than the World Wide Web HTTP protocol to create a packet for protocol confirmation.

That is, in the step of preparing the protocol confirmation packet, in order to find out the type of protocol actually used in the open ports of the wireless device 5, the protocol confirmation packet is created until a response is received as in the above-described operations. .

The step of transmitting the protocol confirmation packet to the wireless device is a step of transmitting the protocol confirmation packet to the target device. The step of transmitting the protocol confirmation packet to the target device includes transmitting the protocol confirmation packet until a response is received from the target device.

The step of checking whether a response exists from the target device that has transmitted the protocol confirmation packet includes monitoring whether a response to the protocol confirmation packet is received from the target device, and when a response is received, the protocol used for the response is transferred from the corresponding open port. Executes an operation that determines that the protocol is actually used.

The type estimation step ( S130 ) is a type of estimating each type of target devices by using at least one result of the performance result of the photo scanning step ( S110 ) and the protocol scanning step ( S120 ). This is a step of performing an estimation operation. That is, the type estimation step S130 is a step of performing the type estimation operation described with reference to FIGS. 1 and 3 .

According to an embodiment, the step of estimating the type ( S130 ) includes estimating the type of service from the type of protocol found as a result of performing the protocol scanning operation, and estimating the type of the target device from the type of service. do. Here, the step of estimating the type of service from the type of protocol is a step of estimating the type of the service from the type of the protocol described above, and the step of estimating the type of the target device from the type of the service is the above-mentioned service. This is a step of estimating the type of the target device from the type. Therefore, for a detailed description of these steps, please refer to the description of the embodiment of FIGS. 1 and 2 .

As described above, the response to the protocol confirmation packet may include at least one of banner information and service information of the target device.

According to an embodiment, the Type Assumption step ( S130 ) includes at least one of banner information and service information of the IoT device, a result of performing the above-described photo scanning operation, and protocol scanning ( Protocol Scanning), at least one result of the operation results is used.

For example, in the type estimation operation S130 , a first estimation operation, a second estimation operation, a comparison operation, and a type determination operation may be performed. For detailed descriptions of the first estimating operation, the second estimating operation, the comparison operation, and the type determining operation, refer to the description of the embodiment described with reference to FIGS. 1 and 3 .

As another example, the type estimation operation S130 may perform a port scanning operation, a protocol scanning operation, and a type estimation operation. For a detailed description of the first estimating operation, the second estimating operation, the comparison operation, and the type determining operation, refer to the description of the embodiment described with reference to FIGS. 1 and 2 .

As described above, the method for estimating the type of the wireless device according to an embodiment of the present invention described with reference to FIG. 4 may be implemented by, for example, a computer program. That is, a computer-readable program for executing all or some steps of each step constituting the method for estimating the type of a wireless device according to an embodiment of the present invention described with reference to FIG. It may be stored in a recording medium. The program for executing all or some of the steps constituting the method according to an embodiment of the present invention stored in the recording medium in the wireless care device 100 is stored in the memory 115 under the control of the computer processor 111 in this way. It can be loaded and run.

For example, according to an embodiment of the present invention, a result of performing a port scanning step (S110) and a port scanning step (S110) to find an open port of a target device A type of estimating the type of the target device based on the results of the protocol scanning step (S120) and the above-described scanning steps (S110, S120) to find the protocol used in the open port found with A computer-readable recording medium is provided for causing the apparatus 100 to execute a method of estimating a type of a wireless device including a Type Assumption step ( S130 ). For a description of each of these steps, please refer to the description above.

As described above, the method for estimating the type of the wireless device according to an embodiment of the present invention described with reference to FIG. 4 may be implemented by, for example, a computer program. That is, a computer-readable program for executing all or some steps of each step constituting the method for estimating the type of a wireless device according to an embodiment of the present invention described with reference to FIG. 4 , can be read by a computer. It may be stored in a recording medium. The program for causing the wireless care device 100 to execute all or some of the steps constituting the method according to an embodiment of the present invention stored in the recording medium in this way is stored in the memory 115 under the control of the computer processor 111 . It can be loaded and run.

For example, according to an embodiment of the present invention, a result of performing a port scanning step (S110) and a port scanning step (S110) to find an open port of a target device A type of estimating the type of the target device based on the results of the protocol scanning step (S120) and the above-described scanning steps (S110, S120) to find the protocol used in the open port found with A computer-readable recording medium is provided for causing the wireless care apparatus 100 to execute a method for estimating the type of a wireless device including a Type Assumption step ( S130 ). For a description of each of these steps, please refer to the description above.

As such, a person skilled in the art to which the present invention pertains can make various modifications and variations from the description of the above-described specification. Therefore, the scope of the present invention should not be limited to the described embodiments and should be defined by the claims described below as well as the claims and equivalents.

5, 5a, 5b, 5c, 5d: wireless devices
100: wireless care device
101: port scanning unit
103: protocol scanning unit
104: type estimator
107: operating system
108: judgment unit
109: communication department
110: Vulnerability Attack Department
111: computer processor
112: peripheral device
113: memory
115: memory
200: freezer

Claims (6)

a web site search unit 201 for searching a web site including information on the target product by using one or more keywords for the target product; and
and a website quality analysis unit 203 capable of analyzing the quality of the web site searched by the web site search unit 201 - the analysis target web site -;
The website quality analysis unit 203 calculates the quality of the analysis target website for the target product based on the base data for the target product in the analysis target website,
The base data, the web site quality analysis server that includes evaluation data for the target product and advertisement data for the target product. According to claim 1,
The evaluation data is generated by searching the analysis target website using a search formula consisting of a combination of (common quality keyword or dedicated quality keyword) and (main keyword).
Wherein the advertisement data is generated for the target product by searching the analysis target website using a keyword expression consisting of a combination of (exclusive quality keyword and main keyword). 3. The method of claim 2,
The quality is calculated as a score or a group, the web site quality analysis server. The web site quality analysis server 200 according to claim 3; and
Includes; wireless care device 100 that is installed within 1 km from the website quality analysis server 200;
The wireless care apparatus 100 is capable of detecting a wireless signal of a wireless device and determining whether the detected wireless device is a fake device, a system in which a web site quality analysis server and a wireless care apparatus are integrated. 5. The method of claim 4,
The wireless care device 100 is
A type estimation operation for estimating the type of the wireless device, and attacking the wireless device with a weakness according to the type of the wireless device to determine whether the wireless device is a fake device,
The type estimation operation is an operation of estimating the type of the wireless device according to the results of the port scanning operation and the protocol scanning operation,
The port scanning operation is an operation to find an open port of the wireless device,
The protocol scanning operation is an operation of finding a protocol used in an open port found as a result of the port scanning operation,
The protocol scanning operation is
The operation of confirming the type of the open port, the operation of creating a protocol confirmation packet according to the type of the open port and transmitting the packet to the wireless device having the open port, and from the wireless device The operation of checking whether a response to the protocol confirmation packet is received, a system in which a web site quality analysis server and a wireless care device are integrated. 6. The method of claim 5,
The response includes at least one of banner information and service information of the wireless device having the open port,
The banner information or the service information includes information indicating the type of wireless device,
The type estimation operation is
A first estimating operation for estimating a service type from the protocol found as a result of performing a protocol scanning operation, a second estimating operation for estimating a service type from information indicating the type of the wireless device, and the first estimating operation The operation of comparing the type of service estimated by the second estimating operation and the type of service estimated by the second estimation operation, and when both of the comparison results are different, from the information indicating the type of the wireless device, the A system in which a web site quality analysis server and a wireless care device are integrated to perform the operation of estimating the type.

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