SNPL: One Scheme of Securing Nodes in IoT Perception Layer
The trustworthiness of data is vital data analysis in the age of big data. In cyber-physical systems, most data is collected by sensors. With the increase of sensors as Internet of Things (IoT) nodes in the network, the security risk of data tampering, unauthorized access, false identify, and others...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/4/1090 |
| _version_ | 1811186267468070912 |
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| author | Yongkai Fan Guanqun Zhao Kuan-Ching Li Bin Zhang Gang Tan Xiaofeng Sun Fanglue Xia |
| author_facet | Yongkai Fan Guanqun Zhao Kuan-Ching Li Bin Zhang Gang Tan Xiaofeng Sun Fanglue Xia |
| author_sort | Yongkai Fan |
| collection | DOAJ |
| description | The trustworthiness of data is vital data analysis in the age of big data. In cyber-physical systems, most data is collected by sensors. With the increase of sensors as Internet of Things (IoT) nodes in the network, the security risk of data tampering, unauthorized access, false identify, and others are overgrowing because of vulnerable nodes, which leads to the great economic and social loss. This paper proposes a security scheme, Securing Nodes in IoT Perception Layer (SNPL), for protecting nodes in the perception layer. The SNPL is constructed by novel lightweight algorithms to ensure security and satisfy performance requirements, as well as safety technologies to provide security isolation for sensitive operations. A series of experiments with different types and numbers of nodes are presented. Experimental results and performance analysis show that SNPL is efficient and effective at protecting IoT from faulty or malicious nodes. Some potential practical application scenarios are also discussed to motivate the implementation of the proposed scheme in the real world. |
| first_indexed | 2024-04-11T13:43:43Z |
| format | Article |
| id | doaj.art-14d034098b8441ceb52e4c002f863009 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:43:43Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-14d034098b8441ceb52e4c002f8630092022-12-22T04:21:10ZengMDPI AGSensors1424-82202020-02-01204109010.3390/s20041090s20041090SNPL: One Scheme of Securing Nodes in IoT Perception LayerYongkai Fan0Guanqun Zhao1Kuan-Ching Li2Bin Zhang3Gang Tan4Xiaofeng Sun5Fanglue Xia6Institute of Computer Science and Cybersecurity, Communication University of China, Beijing 100024, ChinaDepartment of Computer Science and Technology, China University of Petroleum, Beijing 102249, ChinaDepartment of Computer Science and Information Engineering, Providence University, Taichung 43301, TaiwanDepartment of Electrical Engineering, University of South Carolina, Columbia, SC 29208, USADepartment of Computer Science and Engineering, Penn State University, University Park, PA 16802, USADepartment of Computer Science and Technology, China University of Petroleum, Beijing 102249, ChinaDepartment of Computer Science and Technology, China University of Petroleum, Beijing 102249, ChinaThe trustworthiness of data is vital data analysis in the age of big data. In cyber-physical systems, most data is collected by sensors. With the increase of sensors as Internet of Things (IoT) nodes in the network, the security risk of data tampering, unauthorized access, false identify, and others are overgrowing because of vulnerable nodes, which leads to the great economic and social loss. This paper proposes a security scheme, Securing Nodes in IoT Perception Layer (SNPL), for protecting nodes in the perception layer. The SNPL is constructed by novel lightweight algorithms to ensure security and satisfy performance requirements, as well as safety technologies to provide security isolation for sensitive operations. A series of experiments with different types and numbers of nodes are presented. Experimental results and performance analysis show that SNPL is efficient and effective at protecting IoT from faulty or malicious nodes. Some potential practical application scenarios are also discussed to motivate the implementation of the proposed scheme in the real world.https://www.mdpi.com/1424-8220/20/4/1090iotsecuritysecurity frameworkiot nodes |
| spellingShingle | Yongkai Fan Guanqun Zhao Kuan-Ching Li Bin Zhang Gang Tan Xiaofeng Sun Fanglue Xia SNPL: One Scheme of Securing Nodes in IoT Perception Layer Sensors iot security security framework iot nodes |
| title | SNPL: One Scheme of Securing Nodes in IoT Perception Layer |
| title_full | SNPL: One Scheme of Securing Nodes in IoT Perception Layer |
| title_fullStr | SNPL: One Scheme of Securing Nodes in IoT Perception Layer |
| title_full_unstemmed | SNPL: One Scheme of Securing Nodes in IoT Perception Layer |
| title_short | SNPL: One Scheme of Securing Nodes in IoT Perception Layer |
| title_sort | snpl one scheme of securing nodes in iot perception layer |
| topic | iot security security framework iot nodes |
| url | https://www.mdpi.com/1424-8220/20/4/1090 |
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