无人机网络信任管理中的间接观测节点选择方案

Weidong Fang, Wuxiong Zhang, Wei Chen, Weiwei Gao, G. Jia
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引用次数: 3

摘要

无人机网络作为一个三维分布式网络,其通信安全问题至关重要。目前无人机的安全方法主要是传统的安全方案,如加密、认证等。不幸的是,这些安全方案无法抵御内部攻击。同时,作为一种防御内部攻击的有效技术,这是一种信任管理技术,在第三方推荐中存在安全漏洞。然而,无人机网络也存在网络漏洞的风险。本文提出了一种间接观测节点选择方案(IONSS)来解决这些问题。对当前所有间接观测节点的能级进行排序,选择合适的节点。根据这些节点的属性进行灰色决策计算并排序,优先选择前面的节点作为间接观测节点。仿真结果表明,在安全性和能源效率之间取得了平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IONSS: Indirect Observation Node Selection Scheme in Trust Management for UAV Network
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.
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