Secure and Resilient Artificial Intelligence of Things: A HoneyNet Approach for Threat Detection and Situational Awareness
文献类型：期刊论文
| 作者 | Tan, Liang4,5; Yu, Keping3; Ming, Fangpeng1; Cheng, Xiaofan1; Srivastava, Gautam2 |
| 刊名 | IEEE CONSUMER ELECTRONICS MAGAZINE
 |
| 出版日期 | 2022-05-01 |
| 卷号 | 11期号:3页码:69-78 |
| ISSN号 | 2162-2248 |
| DOI | 10.1109/MCE.2021.3081874 |
| 英文摘要 | 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. |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000803109700010 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/19606]  |
| 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, Chengdu, Peoples R China 2.Brandon Univ, Brandon, MB, Canada 3.Waseda Univ, Global Informat & Telecommun Inst, Tokyo, Japan 4.Sichuan Normal Univ, Coll Comp Sci, Chengdu, Peoples R China 5.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China |
| 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. |
入库方式： OAI收割
来源：计算技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。