CN116017392A - Hidden camera discovery device and method for hardware device detection based on Internet - Google Patents
Hidden camera discovery device and method for hardware device detection based on Internet Download PDFInfo
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- CN116017392A CN116017392A CN202211660092.7A CN202211660092A CN116017392A CN 116017392 A CN116017392 A CN 116017392A CN 202211660092 A CN202211660092 A CN 202211660092A CN 116017392 A CN116017392 A CN 116017392A
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- 238000000034 method Methods 0.000 title claims abstract description 13
- 230000008054 signal transmission Effects 0.000 claims abstract description 5
- 238000004458 analytical method Methods 0.000 claims description 6
- 230000003068 static effect Effects 0.000 claims description 3
- 238000009825 accumulation Methods 0.000 claims description 2
- 238000007405 data analysis Methods 0.000 claims description 2
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- 238000012544 monitoring process Methods 0.000 abstract description 5
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/12—Detection or prevention of fraud
- H04W12/121—Wireless intrusion detection systems [WIDS]; Wireless intrusion prevention systems [WIPS]
- H04W12/122—Counter-measures against attacks; Protection against rogue devices
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/1475—Passive attacks, e.g. eavesdropping or listening without modification of the traffic monitored
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/02—Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses a hidden camera discovery device and method based on hardware device detection of the Internet, comprising a hardware device and a terminal, wherein the hardware device comprises a wireless signal detection module, a wireless signal transmission module, a control module and a Bluetooth module which are sequentially connected, the Bluetooth module is connected with the terminal, and the terminal is used for dynamically comparing and analyzing to discover the hidden camera through the Internet. According to the invention, the centimeter-level accurate positioning of the camera signal source and the automatic upgrading of the data are completed through the wireless data transmission, the wireless monitoring, the automatic identification of the growth model and the remote OTA upgrading, so that the hidden camera can be accurately detected.
Description
Technical Field
The invention relates to the technical field of hardware device detection, in particular to a hidden camera discovery device and method for hardware device detection based on the Internet.
Background
The miniature camera is a modern high-tech product, is also called as a miniature monitor, has the characteristics of small volume and powerful functions, has better concealment, has wide application range, is suitable for the industries of aviation, business, media, enterprises and public institutions, families and the like, brings convenience to the life of people, and meanwhile, some phenomena related to enterprise confidentiality, personal privacy and the like are also generated, and the miniature camera using a fisheye lens, a plane lens or a conical lens is called as a pinhole camera.
The position of hiding the camera installation changes variously, and conceals more and more, has caused very big threat to people's privacy, has consequently appeared various equipment that are used for detecting hiding the camera on the market, includes:
the physical detector adopts open type monitoring, has poor concealment and no difference monitoring, and leads to extremely large error of detection results; the monitoring sound is loud and is easy to expose; the accuracy is low, and time and labor are wasted;
the small frame detector has no Bluetooth module, needs to use a data line for data transmission, is very cumbersome, and is easy to expose equipment concealment; the characteristics of the photographing equipment need to be manually supplemented all the time, the photographing equipment is not intelligent, and once the manual error occurs, the final detection result is greatly deviated.
Disclosure of Invention
Aiming at the defects in the prior art, the hidden camera discovery device and the hidden camera discovery method for detecting the hardware device based on the Internet solve the problem that the detection result of the hidden camera is inaccurate.
In order to achieve the aim of the invention, the invention adopts the following technical scheme: the utility model provides a hidden camera discovery device that hardware device detected based on internet, includes hardware device and mobile terminal equipment, hardware device is including wireless signal detection module, wireless signal transmission module, control module, the bluetooth module that connects gradually, bluetooth module is connected with mobile terminal equipment, mobile terminal equipment carries out dynamic contrast analysis discovery hidden camera through the database processing module of internet.
Further: the hardware device is used for detecting equipment data with the WIFI chip.
Further: the device DATA includes signal strength value, MAC code, channel DATA, DATA DATA group, protocol DATA packet, URL, server IP address, traffic.
Further: the Internet can acquire the instantaneous bandwidth standard deviation and the flow data packet time length accumulation standard of other equipment in the same network environment at different online/static operation/dynamic operation stages as the judgment basis of dynamic comparison analysis.
A hidden camera discovery method based on hardware device detection of the Internet comprises the following steps:
s1, detecting equipment data with WIFI chips around by a hardware device;
s2, comparing the detected equipment data with MAC with hidden camera characteristics in a pre-stored database, and entering a step S3 when the similarity of comparison results is higher than 50%, otherwise ending the flow;
s3, according to the fact that the wireless signal detection module detects that RSSI signal data is returned around the equipment, the RSSI signal data is transmitted to a user mobile equipment terminal through the Bluetooth module, and then the data is requested to a terminal server for data analysis, so that the signal intensity of the equipment is obtained;
s4, if the signal intensity distance of the equipment is smaller than 20m, entering a step S5, otherwise, excluding the equipment;
s5, judging the size of the past 10S data group bytes of the equipment, if the data group bytes are larger than 50 bytes, entering a step S7, displaying the state as running, and if the data group bytes are smaller than 50 bytes, judging the state of the equipment as to-be-connected, and entering a step S6;
s6, judging that the suspicious equipment is in a silence state if the data set byte is smaller than 5 bytes, and entering a step S7;
s7, carrying out data packet grabbing aiming at the MAC characteristic equipment, and comparing the data packet grabbing with the characteristic data of the hidden camera prestored in the terminal, if the similarity is 100%, entering a step S8, and if the similarity is 0%, displaying that the equipment is novel suspicious equipment;
s8, detecting the flow of the equipment, and marking the target as suspicious hidden camera equipment if the flow reaches a preset threshold value.
Further: the RSSI signal data is returned through 13 channels in the 802.11 protocol.
Further: the calculation formula of the signal strength dbm is as follows:
dbm＝abs(rssi)-a/10n
in the above formula, rsi is RSSI signal data, a is the absolute value of the RSSI received when the handset is 1m from the bluetooth beacon, and n is the environmental attenuation factor.
Further: and in the step S7, the characteristic data contrast is to carry out key contrast on the URL/server IP in the data packet.
Further: the flow detection specifically comprises the following steps: the past 10S fluctuation peak of the apparatus is judged based on the analyzed DATA bytes in the DATA group.
The beneficial effects of the invention are as follows: according to the invention, the centimeter-level accurate positioning of the camera signal source and the automatic upgrading of the data are completed through the wireless data transmission, the wireless monitoring, the automatic identification of the growth model and the remote OTA upgrading, so that the hidden camera can be accurately detected.
Drawings
FIG. 1 is a schematic diagram of the connection of the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
As shown in fig. 1, the hidden camera discovery device based on the detection of the hardware device of the internet comprises a hardware device and a mobile terminal device, wherein the hardware device comprises a wireless signal detection module, a wireless signal transmission module, a control module and a bluetooth module which are sequentially connected, the bluetooth module is connected with the mobile terminal device, and the mobile terminal device discovers the hidden camera through dynamic contrast analysis by a database processing module of the internet.
The wireless signal detection module is responsible for collecting data such as network signals, MAC, channels, protocols, data sets and the like, transmitting the data to the control module through the wireless signal transmission unit, and transmitting the data to a server of the mobile phone terminal through the Bluetooth module for data module analysis.
The hardware device is used for detecting all device data with WIFI chips in the surrounding 20 m. The device DATA includes signal strength values, MAC codes, channel DATA, DATA sets, protocol DATA packets, URLs, server-side IP addresses, traffic, etc.
The Internet performs feature extraction for equipment in a known network environment;
the instantaneous bandwidth standard deviation and the accumulated standard of the time length of the flow data packet can be obtained as the judgment basis when other devices in the same network environment are in different operation stages such as online/static operation/dynamic operation and the like
As an auxiliary means, the model is used as a hardware training model basis for a long time, and automatic growth analysis is performed by continuously acquiring equipment history so as to improve the accuracy of terminal identification and hidden cameras.
A hidden camera discovery method based on hardware device detection of the Internet comprises the following steps:
s1, detecting all equipment data with WIFI chips in the surrounding 20m through a hardware device;
s2, comparing the detected equipment data with MAC with hidden camera characteristics in a pre-stored database, and entering a step S3 when the similarity of comparison results is higher than 50%, otherwise ending the flow;
s3, returning RSSI signal data according to 13 channels in 802.11 protocols around the equipment detected by the wireless signal detection module, transmitting the RSSI signal data to a user mobile equipment terminal through the Bluetooth module, requesting the data to be analyzed by a terminal server, and obtaining the signal strength of the equipment according to an RSSI data signal formula abs (RSSI) -a/10 n;
s4, if the signal intensity distance of the equipment is smaller than 20m, entering a step S5, otherwise, excluding the equipment;
s5, judging the size of the past 10S data group bytes of the equipment, if the data group bytes are larger than 50 bytes, entering a step S7, displaying the state as running, if the data group bytes are smaller than 50 bytes, judging the state of the equipment as suspicious equipment, and entering a step S6, wherein the state is displayed as to-be-connected;
s6, if the data group byte is smaller than 5 bytes, judging that the suspicious equipment is in a silence state, and entering a step S7, wherein the state is displayed as a code number C;
s7, capturing a data packet aiming at the MAC characteristic equipment, comparing the data packet with the characteristic data of the hidden camera prestored in the terminal, and comparing the URL/server IP in the data packet, if the similarity is 100%, entering a step S8, and if the similarity is 0%, displaying that the equipment is novel suspicious equipment;
and S8, detecting the flow of the equipment, and marking the target as suspicious hidden camera equipment if the flow reaches a threshold value. The past 10S fluctuation peak (DATA byte) is judged based on the analyzed value (DATA byte) among the DATA group.
In order to enhance the range accuracy and automatically learn the growth, in the operation process, if the mobile device is connected with the WIFI, the mobile device will be transmitted and analyzed with the equipment under the same environment network according to the flow so as to achieve the purpose of expanding the detection range and the accuracy. If the WIFI is connected, more data can be obtained, intelligent training of the model is performed, and along with more and more users connected with the WIFI, the database stores more equipment data features so as to automatically identify the training and the training of the growth model.
Claims (9)
1. The hidden camera discovery device is characterized by comprising a hardware device and mobile terminal equipment, wherein the hardware device comprises a wireless signal detection module, a wireless signal transmission module, a control module and a Bluetooth module which are sequentially connected, the Bluetooth module is connected with the mobile terminal equipment, and the mobile terminal equipment is used for dynamically comparing and analyzing to discover the hidden camera through a database processing module of the Internet.
2. The hidden camera discovery apparatus for internet-based hardware apparatus detection of claim 1, wherein the hardware apparatus is configured to detect device data in the presence of a WIFI chip.
3. The hidden camera discovery apparatus for internet-based hardware apparatus detection of claim 2, wherein the device DATA comprises a signal strength value, a MAC code, channel DATA, a DATA set, a protocol DATA packet, a URL, a server-side IP address, and traffic.
4. The hidden camera discovery apparatus for detecting an internet-based hardware apparatus according to claim 1, wherein the internet can obtain an instantaneous bandwidth standard deviation and a traffic data packet time length accumulation standard of other devices in the same network environment in different online/static/dynamic operation phases as a judgment basis for dynamic contrast analysis.
5. The hidden camera discovery method based on the hardware device detection of the Internet is characterized by comprising the following steps of:
s1, detecting equipment data with WIFI chips around by a hardware device;
s2, comparing the detected equipment data with MAC with hidden camera characteristics in a pre-stored database, and entering a step S3 when the similarity of comparison results is higher than 50%, otherwise ending the flow;
s3, according to the RSSI signal data returned around the equipment detected by the wireless signal detection module, the RSSI signal data is transmitted to the mobile equipment end of the user through the Bluetooth module, and then the data is requested to the terminal server for data analysis, so that the signal intensity of the equipment is obtained;
s4, if the signal intensity distance of the equipment is smaller than 20m, entering a step S5, otherwise, excluding the equipment;
s5, judging the size of the past 10S data group bytes of the equipment, if the data group bytes are larger than 50 bytes, entering a step S7, displaying the state as running, and if the data group bytes are smaller than 50 bytes, judging the state of the equipment as to-be-connected, and entering a step S6;
s6, judging that the suspicious equipment is in a silence state if the data set byte is smaller than 5 bytes, and entering a step S7;
s7, carrying out data packet grabbing aiming at the MAC characteristic equipment, and comparing the data packet grabbing with the characteristic data of the hidden camera prestored in the terminal, if the similarity is 100%, entering a step S8, and if the similarity is 0%, displaying that the equipment is novel suspicious equipment;
s8, detecting the flow of the equipment, and marking the target as suspicious hidden camera equipment if the flow reaches a preset threshold value.
6. The hidden camera discovery method of internet based hardware device detection of claim 5, wherein the RSSI signal data is returned through 13 channels in the 802.11 protocol.
7. The hidden camera discovery method for detecting an internet-based hardware device according to claim 5, wherein the calculation formula of the signal strength dbm is:
dbm＝abs(rssi)-a/10n
in the above formula, rsi is RSSI signal data, a is the absolute value of the RSSI received when the handset is 1m from the bluetooth beacon, and n is the environmental attenuation factor.
8. The hidden camera discovery method based on the hardware device detection of the internet as claimed in claim 5, wherein the feature data comparison in step S7 is to perform an emphasis comparison on URL/server IP in the data packet.
9. The hidden camera discovery method for detecting an internet-based hardware device according to claim 5, wherein the traffic detection specifically comprises: the past 10S fluctuation peak of the apparatus is judged based on the values analyzed in the DATA set.
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Cited By (1)
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