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Implementing Fuzzy Analytical Hierarchy Process (FAHP) To Measure Malicious Behaviour of Codes In Smart Meter

机译:实现模糊分析层次处理(FAHP)来测量智能仪表中代码的恶意行为

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Smart meter is a unique metering system that provides users the capability to monitor power generation, transmission and consumption by enhancing the maintenance of real-time supervision and communication. By hacking and breaching the meter, faulty data can be transferred to the utility by the hacker. The power consumption data stored in a smart meter can be spoofed by two different hacking mechanisms. They are: Communication Interface Attack and Physical Memory Attack. In this paper, the malicious behaviour of a specific set of code is measured implementing fuzzy analytical hierarchy process. Analytical hierarchy process is engaged in the formation and inspecting of sophisticated issues by mathematical calculations. This scheme considers the relative priorities of factors or alternatives with a systematic and logical approach and serves the best alternative. Fuzzy theory has been incorporated into traditional AHP method for selecting and justifying alternatives in a systematic way.
机译:智能仪表是一个独特的计量系统,为用户提供通过增强实时监督和通信的维护来监控发电,传输和消耗的能力。通过黑客攻击和突破仪表,可以通过黑客转移到公用事业的错误数据。存储在智能仪表中的功耗数据可以通过两个不同的黑客机制来欺骗。它们是:通信接口攻击和物理内存攻击。在本文中,测量了特定代码集的恶意行为,实现了模糊分析层次结构。分析层次过程通过数学计算从事了复杂问题的形成和检查。该计划考虑了因素或替代方案的相对优先级,具有系统和逻辑方法,并提供最佳替代品。模糊理论已纳入传统的AHP方法,以以系统的方式选择和证明替代品。

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