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A mechanism for detecting gray hole attacks on synchrophasor data

机译:一种检测同步相量数据上的灰洞攻击的机制

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The use of synchrophasor data for observation and control is expected to enhance the operation and efficiency of the next generation of power transmission systems. The synchropha-sor measurement data is usually transferred over public domain networks such as the Internet, thereby making it susceptible to a number of attacks. This paper focuses on packet dropping or gray hole attacks on networks carrying synchrophasor data and develops a mechanism to detect such attacks. Our solutions is based on exploiting the patterns and correlation between packet delays and packet losses due to congestion in order to differentiate naturally occurring packet drops in the Internet from packet drops by gray hole attacks. The effectiveness of the proposed mechanism has been verified using simulations.
机译:期望将同步相量数据用于观察和控制将增强下一代电力传输系统的操作和效率。同步相量测量数据通常在公共领域的网络(例如Internet)上传输,因此容易受到多种攻击。本文着重于对携带同步相量数据的网络的丢包或灰洞攻击,并开发了一种检测此类攻击的机制。我们的解决方案基于利用分组延迟和拥塞造成的分组丢失之间的模式和相关性,以区分Internet中自然发生的分组丢包和灰洞攻击造成的分组丢包。通过仿真验证了所提出机制的有效性。

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