利用增强现实和虚拟现实技术的机器学习算法进行攻击建模和安全分析

Q1 Mathematics
Momina Mushtaq, Rakesh Kumar Jha, Manish Sabraj, Shubha Jain
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引用次数: 0

摘要

增强现实(AR)和虚拟现实(VR)是一种创新技术,正在得到广泛认可。这些技术有能力改变和重新定义我们与周围环境的互动。然而,随着这些技术的普及,它们也带来了新的安全挑战。在本文中,我们将讨论增强现实和虚拟现实带来的安全挑战,并提出一种基于机器学习的方法来应对这些挑战。我们还讨论了如何利用机器学习来检测和预防增强现实和虚拟现实中的攻击。通过利用机器学习算法的力量,我们旨在加强增强现实和虚拟现实系统的安全防御。为此,我们对各种机器学习算法进行了全面评估,仔细分析了它们在增强安全性方面的性能和功效。我们的结果表明,机器学习可以有效地提高增强现实和虚拟现实系统的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attack Modeling and Security Analysis Using Machine Learning Algorithms Enabled with Augmented Reality and Virtual Reality
Augmented Reality (AR) and Virtual Reality (VR) are innovative technologies that are experiencing a widespread recognition. These technologies possess the capability to transform and redefine our interactions with the surrounding environment. However, as these technologies spread, they also introduce new security challenges. In this paper, we discuss the security challenges posed by Augmented reality and Virtual Reality, and propose a Machine Learning-based approach to address these challenges. We also discuss how Machine Learning can be used to detect and prevent attacks in Augmented reality and Virtual Reality. By leveraging the power of Machine Learning algorithms, we aim to bolster the security defences of Augmented reality and Virtual Reality systems. To accomplish this, we have conducted a comprehensive evaluation of various Machine Learning algorithms, meticulously analysing their performance and efficacy in enhancing security. Our results show that Machine Learning can be an effective way to improve the security of Augmented reality and virtual reality systems.
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CiteScore
4.10
自引率
0.00%
发文量
33
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