Secure and Resilient Artificial Intelligence of Things: A HoneyNet Approach for Threat Detection and Situational Awareness

doi:10.1109/MCE.2021.3081874

	Secure and Resilient Artificial Intelligence of Things: A HoneyNet Approach for Threat Detection and Situational Awareness
	Tan, Liang 1,2; Yu, Keping 3; Ming, Fangpeng 4; Cheng, Xiaofan 4; Srivastava, Gautam 5
	2022-05-01
发表期刊	IEEE CONSUMER ELECTRONICS MAGAZINE
ISSN	2162-2248
卷号	11 期号:3 页码:69-78
摘要	Artificial Intelligence of Things (AIoT) is emerging as the future of Industry 4.0 and will be widely applied in consumer, commercial, and industrial fields. In AIoT, intelligent objects (smart devices), smart gateways, and edge/cloud nodes are subject to a large number of security threats and attacks. However, the traditional network security approaches are not fully suitable for AIoT. To address this issue, this article proposes a HoneyNet approach that includes both threat detection and situational awareness to enhance the security and resilience of AIoT. We first design a HoneyNet based on Docker technology that collects data to detect adversaries and monitor their attack behaviors. The collected data are then converted into images and used as samples to train a deep learning model. Finally, the trained model is deployed in AIoT to perform threat detection and provide situational awareness. To validate our scheme, we conduct HoneyNet deployment and model training on the SiteWhere AIoT platform and construct a simulation environment on this platform for threat detection and situational awareness. The experimental results demonstrate the feasibility and effectiveness of our solution.
DOI	10.1109/MCE.2021.3081874
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61373162] ; Sichuan Provincial Science and Technology Department Project[2019YFG0183] ; Sichuan Provincial Key Laboratory Project[KJ201402] ; Japan Society for the Promotion of Science (JSPS)[JP18K18044] ; Japan Society for the Promotion of Science (JSPS)[JP21K17736]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000803109700010
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：87[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/19607
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tan, Liang
作者单位	1.Sichuan Normal Univ, Coll Comp Sci, Chengdu, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Waseda Univ, Global Informat & Telecommun Inst, Tokyo, Japan 4.Sichuan Normal Univ, Chengdu, Peoples R China 5.Brandon Univ, Brandon, MB, Canada
推荐引用方式 GB/T 7714	Tan, Liang,Yu, Keping,Ming, Fangpeng,et al. Secure and Resilient Artificial Intelligence of Things: A HoneyNet Approach for Threat Detection and Situational Awareness[J]. IEEE CONSUMER ELECTRONICS MAGAZINE,2022,11(3):69-78.
APA	Tan, Liang,Yu, Keping,Ming, Fangpeng,Cheng, Xiaofan,&Srivastava, Gautam.(2022).Secure and Resilient Artificial Intelligence of Things: A HoneyNet Approach for Threat Detection and Situational Awareness.IEEE CONSUMER ELECTRONICS MAGAZINE,11(3),69-78.
MLA	Tan, Liang,et al."Secure and Resilient Artificial Intelligence of Things: A HoneyNet Approach for Threat Detection and Situational Awareness".IEEE CONSUMER ELECTRONICS MAGAZINE 11.3(2022):69-78.