Applications of Machine Learning in Cyber Security

Charu Virmani, Tanu Choudhary, Anuradha Pillai, M. Rani
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引用次数: 45

Abstract

With the exponential rise in technological awareness in the recent decades, technology has taken over our lives for good, but with the application of computer-aided technological systems in various domains of our day-to-day lives, the potential risks and threats have also come to the fore, aiming at the various security features that include confidentiality, integrity, authentication, authorization, and so on. Computer scientists the world over have tried to come up, time and again, with solutions to these impending problems. With time, attackers have played out complicated attacks on systems that are hard to comprehend and even harder to mitigate. The very fact that a huge amount of data is processed each second in organizations gave birth to the concept of Big Data, thereby making the systems more adept and intelligent in dealing with unprecedented attacks on a real-time basis. This chapter presents a study about applications of machine learning algorithms in cyber security.
机器学习在网络安全中的应用
近几十年来,随着技术意识的指数级增长,技术已经彻底接管了我们的生活,但随着计算机辅助技术系统在我们日常生活的各个领域的应用,潜在的风险和威胁也逐渐显现出来,针对的是各种安全特性,包括保密性、完整性、身份验证、授权等。全世界的计算机科学家一次又一次地试图提出解决这些迫在眉睫的问题的办法。随着时间的推移,攻击者对系统进行了复杂的攻击,这些攻击难以理解,更难以缓解。组织中每秒处理大量数据的事实催生了大数据的概念,从而使系统在实时处理前所未有的攻击方面更加熟练和智能。本章介绍了机器学习算法在网络安全中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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