Multi-Point Collaborative Authentication Method Based on User Image Intelligent Collection in the Internet of Things
With the increasing demand for intelligent services of the Internet of Things (IoT), its security issues have attracted widespread attention recently. Since most of the existing identity authentication policies are based on a single authentication mode, they are highly likely to cause problems such...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-09-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/8/9/978 |
| _version_ | 1798026829734346752 |
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| author | Yunfa Li Yifei Tu Jiawa Lu |
| author_facet | Yunfa Li Yifei Tu Jiawa Lu |
| author_sort | Yunfa Li |
| collection | DOAJ |
| description | With the increasing demand for intelligent services of the Internet of Things (IoT), its security issues have attracted widespread attention recently. Since most of the existing identity authentication policies are based on a single authentication mode, they are highly likely to cause problems such as illegal operation and stealing of sensor information. In order to meet the needs of increasing IoT users for the security management of intelligent services, a multi-point collaborative authentication method based on user image intelligent collection for the security problems faced by IoT in identity authentication is proposed in the paper. This method firstly collects the identity of the legal user through the intelligent collection technology and then realizes the identity authentication of the unidentified user through the collaborative authentication between the local domain management machine, the back-end image management machine, and the cloud server. Compared with the traditional single identity authentication method, our method uses three-party collaborative authentication to avoid the problem of sensor information stealing easily caused by a single authentication method, which makes the user’s identity authentication more secure and effective. The security analysis shows that the method is able to resist multiple attacks and prevent the sensor information from being illegally operated and stolen, protecting the security of the sensor information. |
| first_indexed | 2024-04-11T18:41:34Z |
| format | Article |
| id | doaj.art-14e9227b8e0e4989bcdf00d731736858 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-04-11T18:41:34Z |
| publishDate | 2019-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-14e9227b8e0e4989bcdf00d7317368582022-12-22T04:08:58ZengMDPI AGElectronics2079-92922019-09-018997810.3390/electronics8090978electronics8090978Multi-Point Collaborative Authentication Method Based on User Image Intelligent Collection in the Internet of ThingsYunfa Li0Yifei Tu1Jiawa Lu2Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, ChinaKey Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, ChinaDepartment of Mechanical, Materials and Manufacturing Engineering, Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo 315100, ChinaWith the increasing demand for intelligent services of the Internet of Things (IoT), its security issues have attracted widespread attention recently. Since most of the existing identity authentication policies are based on a single authentication mode, they are highly likely to cause problems such as illegal operation and stealing of sensor information. In order to meet the needs of increasing IoT users for the security management of intelligent services, a multi-point collaborative authentication method based on user image intelligent collection for the security problems faced by IoT in identity authentication is proposed in the paper. This method firstly collects the identity of the legal user through the intelligent collection technology and then realizes the identity authentication of the unidentified user through the collaborative authentication between the local domain management machine, the back-end image management machine, and the cloud server. Compared with the traditional single identity authentication method, our method uses three-party collaborative authentication to avoid the problem of sensor information stealing easily caused by a single authentication method, which makes the user’s identity authentication more secure and effective. The security analysis shows that the method is able to resist multiple attacks and prevent the sensor information from being illegally operated and stolen, protecting the security of the sensor information.https://www.mdpi.com/2079-9292/8/9/978Internet of Thingsidentity authenticationcollaborative authenticationsecurity |
| spellingShingle | Yunfa Li Yifei Tu Jiawa Lu Multi-Point Collaborative Authentication Method Based on User Image Intelligent Collection in the Internet of Things Electronics Internet of Things identity authentication collaborative authentication security |
| title | Multi-Point Collaborative Authentication Method Based on User Image Intelligent Collection in the Internet of Things |
| title_full | Multi-Point Collaborative Authentication Method Based on User Image Intelligent Collection in the Internet of Things |
| title_fullStr | Multi-Point Collaborative Authentication Method Based on User Image Intelligent Collection in the Internet of Things |
| title_full_unstemmed | Multi-Point Collaborative Authentication Method Based on User Image Intelligent Collection in the Internet of Things |
| title_short | Multi-Point Collaborative Authentication Method Based on User Image Intelligent Collection in the Internet of Things |
| title_sort | multi point collaborative authentication method based on user image intelligent collection in the internet of things |
| topic | Internet of Things identity authentication collaborative authentication security |
| url | https://www.mdpi.com/2079-9292/8/9/978 |
| work_keys_str_mv | AT yunfali multipointcollaborativeauthenticationmethodbasedonuserimageintelligentcollectionintheinternetofthings AT yifeitu multipointcollaborativeauthenticationmethodbasedonuserimageintelligentcollectionintheinternetofthings AT jiawalu multipointcollaborativeauthenticationmethodbasedonuserimageintelligentcollectionintheinternetofthings |