CN111132055A - Real-time indoor mobile equipment spontaneous access method and system based on situation consistency - Google Patents
Real-time indoor mobile equipment spontaneous access method and system based on situation consistency Download PDFInfo
- Publication number
- CN111132055A CN111132055A CN202010043793.0A CN202010043793A CN111132055A CN 111132055 A CN111132055 A CN 111132055A CN 202010043793 A CN202010043793 A CN 202010043793A CN 111132055 A CN111132055 A CN 111132055A
- Authority
- CN
- China
- Prior art keywords
- mobile equipment
- indoor
- equipment
- mobile
- situation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/33—Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/06—Authentication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/08—Access security
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/60—Context-dependent security
- H04W12/68—Gesture-dependent or behaviour-dependent
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Social Psychology (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a real-time indoor mobile equipment spontaneous access method and a system based on situation consistency, which comprises the following steps: receiving an indoor service request initiated by a mobile device; informing the mobile equipment and the indoor originally deployed intelligent equipment to determine a heterogeneous sensor combination used in a verification process, and acquiring data, wherein the heterogeneous sensor combination acquires continuous user random motion data within preset time, and generates situation fingerprints of the mobile equipment and the intelligent equipment based on the acquired data; and comparing the situation fingerprints of the mobile equipment and the intelligent equipment to be consistent, finishing the proximity verification of the indoor mobile equipment, and further granting the access authority to the mobile equipment. The method and the device realize the proximity real-time verification of the mobile equipment by using the heterogeneous sensors available for both verification parties, do not need to add additional hardware equipment, do not need to verify the accurate time synchronization of both verification parties, realize the minimum user participation, and greatly improve the usability and the user experience while ensuring the safety.
Description
Technical Field
The embodiment of the invention belongs to the field of access security of Internet of things equipment, and particularly relates to a real-time spontaneous access method and system for indoor mobile equipment based on situation consistency.
Background
With the development of sharing economy and short-distance travel, it is a common scenario that an indoor sharing service provider needs to authorize an unknown mobile device for first access. For example, a user first enters a hotel room to want to connect to WiFi at the hotel or first enters a strange conference room to want to connect to wireless projection in the room. The purpose of hotel and conference room access control is usually only to authorize the service to the users in the room, without knowing the detailed identity of the users. In this context, indoor proximity verification is becoming an important technical means to solve the problem, i.e. the service provider grants access to the mobile device by verifying whether it is located indoors.
Conventional indoor proximity verification methods typically rely on pre-specified verification credentials (e.g., passwords, two-dimensional codes, etc.), pre-shared key configurations, or pre-training of the mobile device (e.g., entering fingerprints, voiceprints, gait characteristics, etc.). However, these approaches tend to be impractical in the application scenarios described above and add additional user burden and device overhead.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and a system for autonomous access by a real-time indoor mobile device based on context consistency, which solve the problem of real-time proximity verification based on a heterogeneous sensor in the related art.
The technical scheme adopted by the embodiment of the invention is as follows:
the embodiment of the invention provides a real-time indoor mobile equipment spontaneous access method based on situation consistency, which comprises the following steps:
receiving an indoor service request initiated by a mobile device; (ii) a
Informing the mobile equipment and the indoor originally deployed intelligent equipment of determining the heterogeneous sensor combination used in the verification process, and acquiring data; the heterogeneous sensor combination collects continuous random motion data of a user within a preset time, and generates context fingerprints of the mobile device and the intelligent device based on the collected data;
and comparing the situation fingerprints of the mobile equipment and the intelligent equipment to be consistent, finishing the proximity verification of the indoor mobile equipment, and further granting the access authority to the mobile equipment.
The embodiment of the invention also provides a real-time indoor mobile equipment spontaneous access system based on situation consistency, which is characterized by comprising the following steps:
the service request receiving module is used for receiving an indoor service request initiated by the mobile equipment;
the situation fingerprint generation module is used for informing the mobile equipment and the indoor originally deployed intelligent equipment of determining the heterogeneous sensor combination used in the verification process and acquiring data; the heterogeneous sensor combination collects continuous random motion data of a user within a preset time, and generates context fingerprints of the mobile device and the intelligent device based on the collected data;
and the consistency comparison module is used for comparing the consistency of the situation fingerprints of the mobile equipment and the intelligent equipment, finishing the proximity verification of the indoor mobile equipment and further granting the access authority of the mobile equipment.
The embodiment of the invention provides a real-time indoor mobile equipment spontaneous access method based on situation consistency, which is characterized by comprising the following steps:
when a mobile device initiates an indoor service request to a gateway, the gateway can simultaneously inform the mobile device and an indoor originally deployed intelligent device of determining a heterogeneous sensor combination used in a verification process and carrying out data acquisition;
when data are collected, the heterogeneous sensor combination collects continuous random motion data of the user within preset time, and context fingerprints of the mobile device and the intelligent device are generated based on the collected data;
and the gateway compares the situation fingerprints of the mobile equipment and the intelligent equipment to achieve consistency, completes proximity verification of the indoor mobile equipment and further grants access authority to the mobile equipment.
Further, the method for extracting the context fingerprint comprises three steps of sensor data preprocessing, user step interval extraction and interval coding.
Further, the matching of the context fingerprints of the mobile device and the smart device is achieved based on a fuzzy commitment protocol.
Further, at least one sensor is configured on the mobile device and the smart device.
Further, the sensor data preprocessing comprises three steps of normalization, baseline removal and smoothing.
Further, the microsecond-level user step interval extraction is based on a minimum significant vector, and comprises six steps of initial peak point screening, dynamic noise calculation, dynamic noise removal, minimum significant vector calculation, peak point screening based on the minimum significant vector and interval calculation.
Further, the interval coding comprises two steps of step coding and time offset.
The embodiment of the invention also provides a real-time indoor mobile equipment spontaneous access system based on situation consistency, which comprises the following steps:
the service request receiving module is used for informing the mobile equipment and the indoor originally deployed intelligent equipment of determining the heterogeneous sensor combination used in the verification process and acquiring data by the gateway when the mobile equipment initiates an indoor service request to the gateway;
the situation fingerprint generation module is used for acquiring continuous random motion data of the user within preset time by the heterogeneous sensor combination during data acquisition, and generating situation fingerprints of the mobile equipment and the intelligent equipment based on the acquired data;
and the consistency comparison module is used for comparing the consistency of the situation fingerprints of the mobile equipment and the intelligent equipment, finishing the proximity verification of the indoor mobile equipment and further granting the access authority of the mobile equipment.
The embodiment of the invention has the following beneficial effects: the method realizes the proximity real-time verification of the mobile equipment by using the heterogeneous sensors available for both verification parties, does not need to add extra hardware equipment, does not need to verify the accurate time synchronization of the equipment of both verification parties, achieves the minimum user participation, and greatly improves the usability and the user experience while ensuring the safety.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram illustrating an implementation flow of a real-time autonomous access method for indoor mobile devices based on context consistency according to the present invention;
FIG. 2 is a flow chart of a fuzzy commitment agreement in a method for autonomous access of real-time indoor mobile devices based on context consistency according to the present invention;
fig. 3 is a schematic structural diagram of a real-time autonomous access system of an indoor mobile device based on context consistency according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions of the embodiments of the present invention with reference to specific embodiments of the present invention and corresponding drawings. It is to be understood that the described embodiments are only some, and not all, embodiments of the invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention without any creative efforts shall fall within the protection scope of the embodiments of the present invention.
With the development of sharing economy and short-distance travel, it is a common scenario that an indoor sharing service provider needs to authorize an unknown mobile device for first access. For example, a user entering a hotel room for the first time wants to connect to hotel WiFi or entering a strange meeting room for the first time wants to connect to wireless projection. The purpose of hotel and conference room access control is usually only to authorize the service to the users in the room, without knowing the detailed identity of the users. In this context, indoor proximity verification is becoming an important technical means to solve the problem, i.e. the service provider grants access to the mobile device by verifying whether it is located indoors.
In order to meet the requirements of minimum user participation, real-time verification, no need of additional hardware equipment on a user side and the like, the embodiment of the invention provides a real-time indoor mobile equipment spontaneous access method based on context consistency. The sensors configured by both parties may be heterogeneous, i.e., not require the same type of sensor to be configured. According to the principle of sensor perception context consistency under the same space-time, the method realizes the proximity verification of the indoor mobile equipment by utilizing heterogeneous sensors available for both verification parties, thereby realizing the spontaneous access of the mobile equipment.
The following examples are given for the purpose of illustration.
Example 1:
as shown in fig. 1, the present embodiment provides a method for autonomous access by a real-time indoor mobile device based on context consistency, which is applied to a gateway, and includes:
step S100, a gateway receives an indoor service request initiated by mobile equipment;
step S102, the gateway informs the mobile equipment and the indoor originally deployed intelligent equipment of determining a heterogeneous sensor combination used in a verification process and carrying out data acquisition; the heterogeneous sensor combination collects continuous random motion data of a user within a preset time, and generates context fingerprints of the mobile device and the intelligent device based on the collected data;
in one possible implementation, the two verification parties exchange their own sensor lists with each other to determine the heterogeneous sensor combination used in the verification process. For example, the mobile device side selects an acceleration sensor, and the indoor verifier selects a vibration sensor or a microphone sensor.
In one possible implementation, the data acquisition time is typically set to 5-15 seconds in order to enhance the usability and user experience of the present invention. Further, the continuous random motion of the user is selected as the random walking motion of the user. Specifically, the user may randomly choose to walk or stop, and the walking stride frequency and stride length are not required.
In one possible implementation manner, the context fingerprint extraction method comprises three steps of sensor data preprocessing, subtle level user step interval extraction and interval coding.
The sensor data preprocessing step can be further divided into three steps of normalization, baseline removal and smoothing. The normalization method adopts a piecewise cubic corner interpolation algorithm (PCHIP) to resample original data so as to ensure that the data lengths compared by two verification parties are consistent. The baseline removal method adopts a baseline removal method based on polynomial fitting. The smoothing method uses an exponentially weighted moving average filter (EWMA). The sensor preprocessing step is mainly used for effectively removing noise and a base line in original data on the basis of ensuring that the shape of the original data of the sensor is not distorted, and obtaining effective variable quantity in the data of the sensor.
The user step interval extraction method is based on the minimum significant vector and comprises six steps of initial peak point screening, dynamic noise calculation, dynamic noise removal, minimum significant vector calculation, peak point screening based on the minimum significant vector and interval calculation. Firstly, for each piece of sensor data after being preprocessed, screening all local maximum value points according to the minimum interval and the static noise of a measuring device to be used as initial peaks. Then, we calculate the dynamic noise according to the mean and variance of all the initial peaks, and perform a secondary screening of the peaks based on the dynamic noise. Then, for each peak p after the secondary screeningiWe calculate their minimum significant vector value. The minimum significant vector value is defined as the length of the coverage area of the peak point as a local maximum on the abscissa, i.e. for any pi，s(i)＝sl(i)+sr(i)。sl(i) And sr(i) Respectively representing the number of sampling points with smaller amplitude than the peak point in the leftward/rightward traversal of the peak point. By screening the least significant vector less than twice the minimum step interval, we obtain the mostThe final step peak value is the effective step, and the step interval is calculated to generate an interval sequence.
The interval coding method comprises two steps of step coding and time offset. The runlength coding maps each interval to an 8-bit binary number according to the length of the interval. All generated binary numbers are then sorted according to size, and an initial context fingerprint is constructed. Then, the context fingerprint is time-shifted according to the global timestamp at the time of verification. E.g., current time 18:41, then the loop is offset by 186 bits. After a time offset, we get the final context fingerprint.
Step S103, the gateway compares the situation fingerprints of the mobile device and the intelligent device to achieve the consistency of the situation fingerprints of the mobile device and the intelligent device, the proximity verification of the indoor mobile device is completed, and then the access authority of the mobile device is granted.
The consistency of the situation fingerprints of the mobile device and the intelligent device is achieved through a fuzzy commitment protocol. FIG. 2 shows a flow diagram of the fuzzy commitment protocol in the invention. The fuzzy commitment protocol comprises the following steps: (1) random generation of session key K by mobile sensorSAnd generating E according to ECC algorithmS. Then fingerprint the self situation FMAnd ESPerforming XOR operation to generate a commitment CMAnd finally, C isMSending the data to a gateway; (2) indoor sensor generating context fingerprint FRThen F is addedRSending the data to a gateway; (3) gateway according to CMAnd FRComputing
And calculating by using an automatic error correction code reverse algorithm
Hash number with it; (4) mobile sensor sends session key KSThe hash number of the data packet is sent to the gateway; (5) network management contrast
And KSIf the same, the situation consistency comparison is illustratedSuccess and utilization of the context fingerprint FRAnd KSIs exclusive OR operated to obtain commitment CRThen, C is addedMSending the data to an indoor verifier; (6) indoor verifier deconstructing commitments C by using self situation fingerprintRAnd obtaining the session key. And the verification parties finish the situation consistency comparison through the steps and realize the secure exchange of the session key.
Since the spontaneous access method of the real-time indoor mobile equipment based on the situation consistency utilizes the heterogeneous sensors available for both verification sides, additional hardware equipment is not required to be added for both verification sides. In addition, the invention realizes the minimum user participation, the real-time verification, the accurate time synchronization of the equipment of the two parties, the verification evidence specified in advance, the key shared in advance or the prior training of the mobile equipment, and the usability and the user experience of the verification method are greatly improved while the verification safety is ensured.
Example 2:
the present application further provides a real-time indoor mobile device autonomous access system based on context consistency, which is used to execute a real-time indoor mobile device autonomous access method based on context consistency in embodiment 1, and fig. 3 is a schematic structural diagram of a real-time indoor mobile device autonomous access system based on context consistency according to an embodiment of the present invention, where the system includes:
a service request receiving module 101, configured to receive an indoor service request initiated by a mobile device;
a situation fingerprint generation module 102, configured to notify the mobile device and an indoor originally deployed smart device to determine a heterogeneous sensor combination used in a verification process, and perform data acquisition; the heterogeneous sensor combination collects continuous random motion data of a user within a preset time, and generates context fingerprints of the mobile device and the intelligent device based on the collected data;
a consistency comparison module 103, configured to compare consistency of the context fingerprints of the mobile device and the smart device, complete proximity verification of the indoor mobile device, and further grant access permission to the mobile device.
Example 3:
the embodiment provides a method for autonomous access of real-time indoor mobile equipment based on context consistency, which is described from the perspective of the mobile equipment, indoor originally deployed intelligent equipment and a gateway, and includes:
when a mobile device initiates an indoor service request to a gateway, the gateway can simultaneously inform the mobile device and an indoor originally deployed intelligent device of determining a heterogeneous sensor combination used in a verification process and carrying out data acquisition;
when data are collected, the heterogeneous sensor combination collects continuous random motion data of the user within preset time, and context fingerprints of the mobile device and the intelligent device are generated based on the collected data;
and the gateway compares the situation fingerprints of the mobile equipment and the intelligent equipment to achieve consistency, completes proximity verification of the indoor mobile equipment and further grants access authority to the mobile equipment.
The method realizes the proximity verification of the mobile equipment by using the heterogeneous sensors available for the mobile equipment and the indoor intelligent equipment, and overcomes the limitation that the traditional method depends on the arrangement of the homogeneous sensors of the two parties, so that additional hardware equipment is not required to be added. In order to solve the problem of verifying the isomerism of sensors of both parties, the invention utilizes the step interval between continuous walking of the user to construct the situation fingerprint, and increases the complexity of the situation fingerprint by an interval extraction method and a step coding method based on the minimum significant vector. The method has the advantages of minimal user participation, real-time verification, no need of verifying the accurate time synchronization of the equipment of both sides, and greatly improving the usability and the user experience while ensuring the safety.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A real-time indoor mobile equipment spontaneous access method based on context consistency is characterized by comprising the following steps:
receiving an indoor service request initiated by a mobile device;
informing the mobile equipment and the indoor originally deployed intelligent equipment of determining a heterogeneous sensor combination used in a verification process and acquiring data, wherein the heterogeneous sensor combination acquires continuous user random motion data within a preset time and generates situation fingerprints of the mobile equipment and the intelligent equipment based on the acquired data;
and comparing the situation fingerprints of the mobile equipment and the intelligent equipment to be consistent, finishing the proximity verification of the indoor mobile equipment, and further granting the access authority to the mobile equipment.
2. A real-time indoor mobile device autonomous access system based on context coherence, comprising:
the service request receiving module is used for receiving an indoor service request initiated by the mobile equipment;
the situation fingerprint generation module is used for informing the mobile equipment and the indoor originally deployed intelligent equipment of determining the heterogeneous sensor combination used in the verification process and acquiring data; the heterogeneous sensor combination collects continuous random motion data of a user within a preset time, and generates context fingerprints of the mobile device and the intelligent device based on the collected data;
and the consistency comparison module is used for comparing the consistency of the situation fingerprints of the mobile equipment and the intelligent equipment, finishing the proximity verification of the indoor mobile equipment and further granting the access authority of the mobile equipment.
3. A real-time indoor mobile equipment spontaneous access method based on context consistency is characterized by comprising the following steps:
when a mobile device initiates an indoor service request to a gateway, the gateway can simultaneously inform the mobile device and an indoor originally deployed intelligent device of determining a heterogeneous sensor combination used in a verification process and carrying out data acquisition;
when data are collected, the heterogeneous sensor combination collects continuous random motion data of the user within preset time, and context fingerprints of the mobile device and the intelligent device are generated based on the collected data;
and the gateway compares the situation fingerprints of the mobile equipment and the intelligent equipment to achieve consistency, completes proximity verification of the indoor mobile equipment and further grants access authority to the mobile equipment.
4. The method for real-time indoor mobile device autonomous access based on context consistency as claimed in claim 1 or 3, wherein the context fingerprint extraction method comprises three steps of sensor data preprocessing, user step interval extraction and interval coding.
5. The method according to claim 1 or 3, wherein the matching of the context fingerprints of the mobile device and the smart device is achieved based on fuzzy commitment protocol.
6. A method for autonomous access by mobile devices in real time based on context coherence as claimed in claim 1 or 3, wherein at least one sensor is configured on the mobile device and the smart device.
7. The method of claim 4, wherein the sensor data preprocessing comprises three steps of normalization, baseline removal, and smoothing.
8. The method of claim 4, wherein the user step interval extraction is based on minimum significant vector, and comprises six steps of initial peak point screening, dynamic noise calculation, dynamic noise removal, minimum significant vector calculation, peak point screening based on minimum significant vector, and interval calculation.
9. The method as claimed in claim 4, wherein the interval coding comprises a step coding and a time offset.
10. A real-time indoor mobile device autonomous access system based on context coherence, comprising:
the service request receiving module is used for informing the mobile equipment and the indoor originally deployed intelligent equipment of determining the heterogeneous sensor combination used in the verification process and acquiring data by the gateway when the mobile equipment initiates an indoor service request to the gateway;
the situation fingerprint generation module is used for acquiring continuous random motion data of the user within preset time by the heterogeneous sensor combination during data acquisition, and generating situation fingerprints of the mobile equipment and the intelligent equipment based on the acquired data;
and the consistency comparison module is used for comparing the consistency of the situation fingerprints of the mobile equipment and the intelligent equipment, finishing the proximity verification of the indoor mobile equipment and further granting the access authority of the mobile equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010043793.0A CN111132055B (en) | 2020-01-15 | 2020-01-15 | Real-time indoor mobile equipment spontaneous access method and system based on situation consistency |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010043793.0A CN111132055B (en) | 2020-01-15 | 2020-01-15 | Real-time indoor mobile equipment spontaneous access method and system based on situation consistency |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111132055A true CN111132055A (en) | 2020-05-08 |
| CN111132055B CN111132055B (en) | 2021-03-05 |
Family
ID=70489482
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010043793.0A Active CN111132055B (en) | 2020-01-15 | 2020-01-15 | Real-time indoor mobile equipment spontaneous access method and system based on situation consistency |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111132055B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113194554A (en) * | 2020-12-16 | 2021-07-30 | 上海欣芙信息科技有限公司 | Multi-protocol intelligent acquisition gateway system for water and electricity meters and use method thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102750529A (en) * | 2012-07-24 | 2012-10-24 | 南京邮电大学 | Biometric fingerprint authentication method based on quantum fuzzy commitment |
| CN104955046A (en) * | 2015-06-16 | 2015-09-30 | 广东欧珀移动通信有限公司 | Hot point access method and mobile terminal |
| CN106658502A (en) * | 2016-12-28 | 2017-05-10 | 太仓红码软件技术有限公司 | Intelligent wireless local area reservation access method based on fingerprint authentication |
| CN110390190A (en) * | 2018-04-20 | 2019-10-29 | 武汉真元生物数据有限公司 | A kind of intelligent terminal unlocking method and system based on biological characteristic |
-
2020
- 2020-01-15 CN CN202010043793.0A patent/CN111132055B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102750529A (en) * | 2012-07-24 | 2012-10-24 | 南京邮电大学 | Biometric fingerprint authentication method based on quantum fuzzy commitment |
| CN104955046A (en) * | 2015-06-16 | 2015-09-30 | 广东欧珀移动通信有限公司 | Hot point access method and mobile terminal |
| CN106658502A (en) * | 2016-12-28 | 2017-05-10 | 太仓红码软件技术有限公司 | Intelligent wireless local area reservation access method based on fingerprint authentication |
| CN110390190A (en) * | 2018-04-20 | 2019-10-29 | 武汉真元生物数据有限公司 | A kind of intelligent terminal unlocking method and system based on biological characteristic |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113194554A (en) * | 2020-12-16 | 2021-07-30 | 上海欣芙信息科技有限公司 | Multi-protocol intelligent acquisition gateway system for water and electricity meters and use method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111132055B (en) | 2021-03-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102139548B1 (en) | System and method for decentralized identifier based on face recognition | |
| CN109412790B (en) | User authentication and key agreement system and method facing to Internet of things | |
| US10997443B2 (en) | User identity verification method, apparatus and system | |
| CN112073379A (en) | Lightweight Internet of things security key negotiation method based on edge calculation | |
| KR20180077239A (en) | Face authentication method, device and computer storage medium | |
| Almajali et al. | A framework for efficient and secured mobility of IoT devices in mobile edge computing | |
| CN105429959B (en) | Image processing method and client device, image authentication method and server | |
| CN108769186B (en) | Service authority control method and device | |
| US10719594B2 (en) | Secure re-enrollment of biometric templates using distributed secure computation and secret sharing | |
| US20160328714A1 (en) | Method and apparatus for authenticating payment related information in mobile communication system | |
| WO2019056971A1 (en) | Authentication method and device | |
| Suryani et al. | Internet of Things (IoT) framework for granting trust among objects | |
| CN111132055B (en) | Real-time indoor mobile equipment spontaneous access method and system based on situation consistency | |
| CN112328989A (en) | Network identity authentication method, system and storage medium based on biological characteristics | |
| Xue et al. | An access control system for intelligent buildings | |
| CN110830985A (en) | 5G lightweight terminal access authentication method based on trust mechanism | |
| Savitha et al. | A unique secure multimodal biometrics-based user anonymous authenticated key management protocol (SMUAAKAP) based on block chain mechanism for generic HIoTNs | |
| KR20220075723A (en) | Personal authentication method and system using decentralized identifiers | |
| CN116170144A (en) | Smart power grid anonymous authentication method, electronic equipment and storage medium | |
| CN115801277A (en) | Multi-mode fusion identity authentication method and system for handheld operation and maintenance terminal considering multiple factors | |
| CN114499899B (en) | Identity verification system | |
| CN111382296B (en) | Data processing method, device, terminal and storage medium | |
| CN112995939B (en) | Wireless sensor network transmission and cloud service access control system | |
| CN114329418A (en) | Equipment authentication method and device | |
| CN114726604B (en) | Multi-factor identity authentication method based on edge calculation and SDN under everything interconnection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Xu Wenyuan Inventor after: Li Chaohao Inventor after: Ji Xiaoyu Inventor after: Wang Kai Inventor after: Yang Weiyong Inventor after: Liu Wei Inventor before: Xu Wenyuan Inventor before: Li Chaohao Inventor before: Ji Xiaoyu Inventor before: Wang Kai |