Dynamic Aging Weight Scheme for Trust Model in Internet of Medical Things

Fang，Weidong1,2,3; Zhu，Chunsheng4,5; Ma，Tian Min6; Zhang，Wuxiong1,2; Li，Baoqing1,2; Yi，Li1,2; Xu，Fangchen7; Zhang，Tianchen8; Wang，Bo8

10.1109/BIBM52615.2021.9669470

2021

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

978-1-6654-2982-5

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

3366-3369

9-12 Dec. 2021

Houston, TX, USA

It has been observed that the Internet of Medical Things (IoMT) is being deployed to construct varieties of intelligent platforms in medical and healthcare field, in order to comprehensively improve the quality of medical services. However, the cyber security of IoMT is facing enormous threat. Although many trust schemes are proposed to address the issue, the ignorance of aging weight in trust increases the risk of long-term attacks before being detected. In this paper, we design a dynamic aging weight scheme for trust model in IoMT. Essentially, when there are cooperative behaviors between two nodes, the aging weight can be set as large as possible to slow down the increase in the trust value of normal nodes. Once noncooperative behaviors appear, the smaller aging weight could mitigate the danger of compromised nodes. The simulation results indicate that our proposed scheme could better meet the principle of “Easy to lose” for trust.

Internet of Medical Things (IoMT) Trust Model Aging Weight Attacks

通讯

英语

EI

20220911712338

Cybersecurity ; Trusted computing

Ergonomics and Human Factors Engineering:461.4 ; Data Processing and Image Processing:723.2 ; Social Sciences:971

IEEE

1.Shanghai Institute of Micro-system and Information Technology,Chinese Academy of Sciences,Science and Technology on Micro-System Laboratory,Shanghai,201899,China
2.University of Chinese Academy of Sciences,Beijing,100049,China
3.Shanghai Research and Development Center for Micro-Nano Electronics,Shanghai,201210,China
4.Southern University of Science and Technology,Shenzhen,518055,China
5.Peng Cheng Laboratory,Shenzhen,518055,China
6.Asian International Collaboration,Waitemata District Health Board,Auckland,0740,New Zealand
7.China Oil and Gas Pipeline Network Corporation West East Gas Pipeline Company,Shanghai,2001200,China
8.Key Laboratory of Intelligent and Connected Commercial Vehicle (Information Science),Fuzhou,350015,China

Fang，Weidong,Zhu，Chunsheng,Ma，Tian Min,et al. Dynamic Aging Weight Scheme for Trust Model in Internet of Medical Things[C],2021:3366-3369.