Work place: Shri Mata Vaishno Devi University/Electronics and Communication Engineering, Katra, 182320, India
E-mail: mominamushtaq2@gmail.com
Website:
Research Interests: Machine Learning, Wireless Networks
Biography
Momina Mushtaq is currently a Student in the School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India. Her research interest in Wireless Networks, Machine Learning.
By Momina Mushtaq Rakesh Kumar Jha Manish C. Sabraj Shubha Jain
DOI: https://doi.org/10.5815/ijcnis.2024.04.08, Pub. Date: 8 Aug. 2024
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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