人工智能和机器学习技术在改善网络安全中的重要作用

Muskan Kumari
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摘要

网络安全已成为当今时代商业信息系统面临的一个日益突出的挑战。人工智能在各个领域都有广泛的应用,但在网络安全领域仍然是一个新事物。尽管如此,网络保护的应用对每个人的日常生活都很重要。在本文中,我们介绍了人工智能在网络安全领域的现状,然后描述了一些情境调查和人工智能的使用,以帮助包括工程经理、教师、教育工作者、商业人士和学生在内的社区更容易地理解这一领域,例如,人工智能在在线保护中的困难和不确定问题。针对新的挑战,专家群体主要有两种途径:一是采用军事情报的理念和方法,二是利用人工智能方法对抗网络攻击。随着网络攻击的数量不断增加,网络安全对任何企业来说都是一个至关重要的威胁。网络安全攻击的发展正在破坏我们的现实。AI(人工智能)和ML(机器学习)可以帮助识别危险并向网络分析师提供建议。将AI/ML应用于网络安全需要全球范围内的行业、学术界和政府联合起来。我们还讨论了与人工智能技术在网络安全领域的发展相关的未来研究机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIGNIFICANT ROLE OF AI & ML TECHNIQUES USED IN IMPROVEMENT OF CYBER SECURITY
Cyber Security has become an arising challenge for business information system in current era. AI (Artificial Intelligence) is broadly utilized in various field, however it is still generally new in cyber security. Nonetheless, the applications in network protection are significant for everybody`s day by day life. In this paper, we present the current status of AI in cyber security field, and afterward portray a few contextual investigations and uses of AI to help the community including engineering managers, teachers, educators, business people, and understudies to more readily comprehend this field, for example, the difficulties and uncertain issues of AI in online protection. According to the new challenges, the expert community has two main approaches: to adopt the philosophy and methods of Military Intelligence, and to use Artificial Intelligence methods for counteraction of Cyber Attacks. Cyber security is a vital danger for any business as the quantity of attacks is expanding. Developing of attacks on cyber security is undermining our reality. AI (Artificial Intelligence) and ML (Machine Leaning) can help identify dangers and give proposals to cyber Analyst. Advancement of appropriation of AI/ML applied to cyber security requires banding together of industry, the scholarly community, and government on a worldwide scale. We also discuss future research opportunities associated with the development of AI techniques in the cyber security ?eld across a scope of utilization areas.
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