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Artificial Intelligence Empowered Cyber Threat Detection and Protection for Power Utilities

机译:人工智能赋权网络威胁检测和电力公用事业保护

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Cyber threats have increased extensively during the last decade, especially in smart grids. Cybercriminals have become more sophisticated. Current security controls are not enough to defend networks from the number of highly skilled cybercriminals. Cybercriminals have learned how to evade the most sophisticated tools, such as Intrusion Detection and Prevention Systems (IDPS), and Advanced Persistent Threat (APT) is almost invisible to current tools. Fortunately, the application of Artificial Intelligence (AI) may increase the detection rate of IDPS systems, and Machine Learning (ML) techniques can mine data to detect different attack stages of APT. However, the implementation of AI may bring other risks, and cybersecurity experts need to find a balance between risk and benefits.
机译:网络威胁在过去十年中,特别是在智能网格中的广泛增加。网络犯罪分子变得更加复杂。目前的安全控制不足以保护网络从高技能网络犯罪分子的数量抵御。网络犯罪分子已经了解了如何逃避最复杂的工具,例如入侵检测和预防系统(IDP),并且先进的持久威胁(APT)几乎不可见于当前工具。幸运的是,人工智能(AI)的应用可能会增加IDPS系统的检测率,并且机器学习(ML)技术可以挖掘数据以检测APT的不同攻击阶段。但是,AI的实施可能会带来其他风险,网络安全专家需要在风险和福利之间找到平衡。

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