SNPL: One Scheme of Securing Nodes in IoT Perception Layer

Fan, Yongkai; Zhao, Guanqun; Li, Kuan-Ching; Zhang, Bin; Tan, Gang; Sun, Xiaofeng; Xia, Fanglue

doi:10.3390/s20041090

Open AccessArticle

SNPL: One Scheme of Securing Nodes in IoT Perception Layer

by

Yongkai Fan

^1,2,3,

Guanqun Zhao

^3,*

,

Kuan-Ching Li

^4,*

,

Bin Zhang

⁵

,

Gang Tan

⁶

,

Xiaofeng Sun

³ and

Fanglue Xia

³

¹

Institute of Computer Science and Cybersecurity, Communication University of China, Beijing 100024, China

²

Tus College of Digit, Beijing 100084, China

³

Department of Computer Science and Technology, China University of Petroleum, Beijing 102249, China

⁴

Department of Computer Science and Information Engineering, Providence University, Taichung 43301, Taiwan

⁵

Department of Electrical Engineering, University of South Carolina, Columbia, SC 29208, USA

⁶

Department of Computer Science and Engineering, Penn State University, University Park, PA 16802, USA

^*

Authors to whom correspondence should be addressed.

Sensors 2020, 20(4), 1090; https://doi.org/10.3390/s20041090

Submission received: 20 December 2019 / Revised: 3 February 2020 / Accepted: 11 February 2020 / Published: 17 February 2020

(This article belongs to the Special Issue Threat Identification and Defence for Internet-of-Things)

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Abstract

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.

Keywords: IoT; security; security framework; IoT nodes

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MDPI and ACS Style

Fan, Y.; Zhao, G.; Li, K.-C.; Zhang, B.; Tan, G.; Sun, X.; Xia, F. SNPL: One Scheme of Securing Nodes in IoT Perception Layer. Sensors 2020, 20, 1090. https://doi.org/10.3390/s20041090

AMA Style

Fan Y, Zhao G, Li K-C, Zhang B, Tan G, Sun X, Xia F. SNPL: One Scheme of Securing Nodes in IoT Perception Layer. Sensors. 2020; 20(4):1090. https://doi.org/10.3390/s20041090

Chicago/Turabian Style

Fan, Yongkai, Guanqun Zhao, Kuan-Ching Li, Bin Zhang, Gang Tan, Xiaofeng Sun, and Fanglue Xia. 2020. "SNPL: One Scheme of Securing Nodes in IoT Perception Layer" Sensors 20, no. 4: 1090. https://doi.org/10.3390/s20041090

APA Style

Fan, Y., Zhao, G., Li, K.-C., Zhang, B., Tan, G., Sun, X., & Xia, F. (2020). SNPL: One Scheme of Securing Nodes in IoT Perception Layer. Sensors, 20(4), 1090. https://doi.org/10.3390/s20041090

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