Artificial Intelligence In Cyber Security: Rescue Or Challenge

Parth Gulati, Uma Gulati, Hayri Uygun, Rashmi Gujrati
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引用次数: 1

Abstract

Objective: The objective of this research paper is to explore the potential of artificial intelligence (AI) in enhancing and fortifying cybersecurity measures. In light of the increasing cyber threats and the limitations of traditional computer security systems, the paper aims to shed light on the concept of AI and its components. The central goal is to demonstrate how AI can be leveraged to improve cybersecurity, focusing on key areas such as machine learning, data mining, in-depth learning, and expert programs. Method: This research paper utilizes a literature review approach to investigate the intersection of artificial intelligence and cybersecurity. It involves analyzing existing scholarly works and studies to understand the challenges posed by evolving cyber threats and the limitations of conventional security systems. The paper identifies various components of AI that have the potential to enhance cybersecurity measures and delineates their applicability in the digital landscape. Results: The analysis of past literature emphasizes the growing significance of adopting artificial intelligence techniques to bolster cybersecurity practices. The results underscore the inadequacies of traditional security systems in predicting and countering the ever-evolving tactics of cyber attackers and terrorists. Through an examination of various AI components, including machine learning, data mining, in-depth learning, and expert programs, the paper demonstrates the potential benefits that these technologies can offer to the field of cybersecurity. Conclusions: In conclusion, this research paper highlights the escalating threats to cybersecurity in the face of rapid technological advancement. The imperative of addressing these challenges through AI becomes evident as traditional security systems prove insufficient. By harnessing the power of artificial intelligence techniques such as machine learning, data mining, in-depth learning, and expert programs, institutions can significantly enhance their cybersecurity capabilities. The paper underscores the need for a paradigm shift towards AI-driven cybersecurity strategies to effectively predict, prevent, and counteract cyber threats in the digital age.
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网络安全中的人工智能:拯救还是挑战
目的:本研究的目的是探讨人工智能(AI)在加强和加强网络安全措施方面的潜力。鉴于日益增长的网络威胁和传统计算机安全系统的局限性,本文旨在阐明人工智能及其组成部分的概念。核心目标是展示如何利用人工智能来改善网络安全,重点关注机器学习、数据挖掘、深度学习和专家程序等关键领域。方法:本研究采用文献综述的方法来探讨人工智能与网络安全的交叉。它包括分析现有的学术著作和研究,以了解不断发展的网络威胁和传统安全系统的局限性所带来的挑战。本文确定了人工智能的各种组成部分,这些组成部分有可能增强网络安全措施,并描述了它们在数字环境中的适用性。结果:对过去文献的分析强调了采用人工智能技术来加强网络安全实践的重要性。这些结果强调了传统安全系统在预测和应对网络攻击者和恐怖分子不断演变的战术方面的不足。通过对各种人工智能组件的研究,包括机器学习、数据挖掘、深度学习和专家程序,本文展示了这些技术可以为网络安全领域提供的潜在好处。结论:总之,本研究论文强调了面对快速的技术进步,网络安全面临的威胁不断升级。随着传统安全系统的不足,通过人工智能解决这些挑战的必要性变得越来越明显。通过利用机器学习、数据挖掘、深度学习和专家程序等人工智能技术的力量,机构可以显著增强其网络安全能力。该论文强调了向人工智能驱动的网络安全战略转变的必要性,以有效地预测、预防和应对数字时代的网络威胁。
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