人工智能在网络安全中的应用
This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.
这本书提出了网络安全和网络威胁情报领域的一系列最新AI方法,提供战略防御机制来对抗恶意软件,解决网络犯罪,并评估漏洞以实现主动而非被动的应对措施。当前的安全威胁种类繁多且范围广泛,甚至最专业的安全专业人士也无法完全掌握。此外,分析昨天的安全事件已经无法使专家预测并预防明天的攻击了,这需要远远超出识别已知威胁的方法。然而,仍有许多值得探索的方向:复杂行为匹配可以基于所采取的行为来隔离威胁,而机器学习可以帮助检测异常情况、防止恶意软件感染,并发现非法活动的迹象,以保护资产免受黑客攻击。同时,知识表示有助于通过网络数据实现自动化推理,从而帮助实现网络安全态势感知。汇集了高级专家贡献的这本书建议在这一关键且迅速增长的领域中提出新的研究方向。
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