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 |
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MDPI AG
2019
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| Online Access: | https://eprints.nottingham.ac.uk/59397/ |
| _version_ | 1848799622995116032 |
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| author | Li, Yunfa Tu, Yifei Lu, Jiawa |
| author_facet | Li, Yunfa Tu, Yifei Lu, Jiawa |
| author_sort | Li, Yunfa |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| 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 | 2025-11-14T20:38:36Z |
| format | Article |
| id | nottingham-59397 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:38:36Z |
| publishDate | 2019 |
| publisher | MDPI AG |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-593972019-11-04T01:54:47Z https://eprints.nottingham.ac.uk/59397/ Multi-point collaborative authentication method based on user image intelligent collection in the internet of things Li, Yunfa Tu, Yifei Lu, Jiawa 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. MDPI AG 2019-09-02 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/59397/1/Multi-point%20collaborative%20authentication%20method%20based%20on%20user%20image%20intelligent%20collection%20in%20the%20internet%20of%20things.pdf Li, Yunfa, Tu, Yifei and Lu, Jiawa (2019) Multi-point collaborative authentication method based on user image intelligent collection in the internet of things. Electronics, 8 (9). p. 978. ISSN 2079-9292 Internet of Things; identity authentication; collaborative authentication; security http://dx.doi.org/10.3390/electronics8090978 doi:10.3390/electronics8090978 doi:10.3390/electronics8090978 |
| spellingShingle | Internet of Things; identity authentication; collaborative authentication; security Li, Yunfa Tu, Yifei Lu, Jiawa Multi-point collaborative authentication method based on user image intelligent collection in the internet of things |
| 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://eprints.nottingham.ac.uk/59397/ https://eprints.nottingham.ac.uk/59397/ https://eprints.nottingham.ac.uk/59397/ |