Faculty Publications
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Item Strategic Implications of AI in Contemporary Business and Society(IEEE, 2024-03) Kaushal,Sanjay; Mishra,DivyaThis study examines the significant impact of AI in several fields, such as fashion e-commerce, retail, marketing, hospitality, military applications, and digital marketing. The study conducts a thorough examination of the literature and discovers recurring patterns, including the widespread impact of AI in transforming industries, ethical concerns surrounding the implementation of AI, the challenges and possibilities in hyper-personalization, and the strategic implications of AI in many sectors. The increasing influence of AI in influencing customer experiences, optimizing business operations, and revolutionizing marketing strategies is clearly evident in several research. Transparency, adaptability, and the requirement for algorithms that can be explained are important considerations when dealing with the intricacies of integrating AI. The recommendations prioritize ongoing investment in AI literacy, clear transparency regarding data usage, and a flexible approach to customization to adapt to changing consumer preferences. The significance of interdisciplinary collaborations and robust frameworks is emphasized by ethical considerations in the deployment of AI, particularly regarding biases and concerns about privacy. This study provides significant insights for researchers, practitioners, and policymakers, navigating the ever-changing world of AI-driven advancements.Item Artificial Intelligence-Based Cybersecurity for the Metaverse: Research Challenges and Opportunities(2025-04) Awadallah, Abeer; Eledlebi, Khouloud; Zemerly, Mohamed Jamal; Puthal, Deepak; Damiani, Ernesto; Taha, KamalThe metaverse, known as the next-generation 3D Internet, represents virtual environments that mirror the physical world. It is supported by innovative technologies such as digital twins and extended reality (XR), which elevate user experiences across various fields. However, the metaverse also introduces significant cybersecurity and privacy challenges that remain underexplored. Due to its complex multi-tech infrastructure, the metaverse requires sophisticated, automated, and intelligent cybersecurity measures to mitigate emerging threats effectively. Therefore, this paper is the first to explore Artificial Intelligence (AI)-driven cybersecurity techniques for the metaverse, examining academic and industrial perspectives. First, we provide an overview of the metaverse, presenting a detailed system model, diverse use cases, and insights into its current industrial status. We then present attack models and cybersecurity threats derived from the unique characteristics and technologies of the metaverse. Next, we review AI-driven cybersecurity solutions based on three critical aspects: User authentication, intrusion detection systems (IDS), and the security of digital assets, specifically for Blockchain and Non-fungible Tokens (NFTs). Finally, we highlight challenges and suggest future research opportunities to enhance metaverse security, privacy, and digital asset transactions