IONSS: Indirect Observation Node Selection Scheme in Trust Management for UAV Network

被引:2
|
作者
Fang, Weidong [1 ,2 ]
Zhang, Wuxiong [1 ,2 ]
Chen, Wei [3 ]
Gao, Weiwei [1 ,2 ]
Jia, Guoqing [4 ]
机构
[1] Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Key Lab Wireless Sensor Network & Commun, Shanghai 201800, Peoples R China
[2] Shanghai Res Ctr Wireless Commun, Shanghai 201210, Peoples R China
[3] China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Jiangsu, Peoples R China
[4] Qinghai Univ Nationalities, Coll Phys & Elect Informat Engn, Xining 810007, Peoples R China
基金
中国国家自然科学基金;
关键词
Unmanned aerial vehicle (UAV); UAV network; Information security; Trust management scheme; Gray dicision;
D O I
10.1109/gcwkshps45667.2019.9024381
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
As a three-dimensional distributed network, the UAV network is very critical for communication security. The current security approaches for UAV are mainly traditional secure schemes, such as encryption, authentication, and etc. Unfortunately, these secure schemes could not defend against the internal attacks. Simultaneously, as an effective technology to defend against the internal attacks, this is, a trust management technology, has security vulnerabilities in the third party recommendation. Nevertheless, there is also the risk of cyber holes in UAV network. In this paper, we propose an indirect observation node selection scheme (IONSS) to solve these issues. For all current indirect observation nodes, their energy levels are sorted to select the appropriate nodes. The Grey-decision calculation is performed and sorted with the attribute of these nodes, and the previous nodes are preferentially selected as the indirect observation nodes. The simulation results show that the balance between security and energy efficiency.
引用
收藏
页数:6
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