Formal verification of mobile agent based anomaly detection in Wireless Sensor Networks

Muhammad Usman, V. Muthukkumarasamy, Xin-Wen Wu
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引用次数: 3

Abstract

Mobile agent technology offers a number of advantages to resource constrained Wireless Sensor Networks (WSNs) by facilitating parallelism, code and data dissemination, localization, and distributed security services. As part of the second line of defense for WSNs, anomaly detection schemes are also benefiting from mobile agent technology. The formal verification can be used to validate the correctness of a system using formal specifications. This study employs Behavior Trees (BTs) for formal verification of mobile agent based anomaly detection system in WSNs. We employed BT based formal semantics to integrate the behavior projection of different components of anomaly detection system. The Symbolic Analysis Laboratory (SAL) tool is used to formally specify the behavior tree model. The analysis based on Linear Temporal Logic (LTL) theorems validates the completeness and consistency of the formal model of mobile agent based anomaly detection system.
无线传感器网络中基于移动代理的异常检测形式化验证
移动代理技术通过促进并行性、代码和数据传播、本地化和分布式安全服务,为资源受限的无线传感器网络(wsn)提供了许多优势。作为无线传感器网络第二道防线的一部分,异常检测方案也受益于移动代理技术。形式化验证可以用来验证使用形式化规范的系统的正确性。本研究采用行为树(bt)对基于移动智能体的wsn异常检测系统进行形式化验证。采用基于BT的形式化语义对异常检测系统中不同组件的行为投影进行整合。符号分析实验室(Symbolic Analysis Laboratory, SAL)工具用于形式化地指定行为树模型。基于线性时间逻辑(LTL)定理的分析验证了基于移动智能体的异常检测系统形式化模型的完备性和一致性。
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