基于模糊自适应过滤的无线传感器网络安全性分析

Security analysis of wireless sensor network based on fuzzy logic adaptive filtering

为了解决分布于敌对环境中的无线传感器网络对于虚假数据的攻击脆弱性的问题。提出了基于模糊逻辑的自适应过滤方案,构建了基于模糊规则的系统。结果表明基于模糊规则的系统通过对报告中背书请求数目的确定来控制过滤方案的安全水平。该方案能够保证能量节约和反虚假数据注入式攻击的足够的弹性。该分析方法对无线传感器网络安全性具有一定的应用价值。

If a wireless sensor network is deployed in an adversary environment,it is normally vulnerable to false data injection attacks. To overcome this problem,this paper proposes a fuzzy-based framework to achieve adaptive filtering on false reports and establishes a system based on fuzzy rules. A fuzzy rule-based system controls the security level of the filtering scheme through the determination of the required number of endorsements in every report. The proposed method can provide energy saving and sufficient resilience against false data injection attacks. The analytical method proposed is a valuable contribution to the security of a wireless sensor network.