This paper explores the intersection of Artificial Intelligence (AI) and cloud computing,
focusing on the security implications. As cloud computing becomes increasingly ubiquitous …

This chapter explores the application of advanced deep learning architectures, namely
convolutional neural networks (CNNs) and recurrent neural networks (RNNs), for the …

Image encryption is a commonly used method to secure medical data on a public network,
playing a crucial role in the healthcare industry. Because of their complex dynamics …

The rapid progress of the artificial intelligence (AI) sector has greatly impacted vehicular
edge components (VECs) in the vehicular ad hoc network (VANET). Various AI applications …

In urban environments, efficiently decrypting CP-ABE in VANETs is a significant challenge
due to the dynamic and resource-constrained nature of these networks. VANETs are critical …

With the digital age ushering in an unprecedented proliferation of malware, accurately
attributing these malicious software variants to their original authors or affiliated groups has …

In Industry 5.0, predicting electric vehicle energy usage enhances efficiency and
sustainability, optimizes charging infrastructure, and meets consumer demands. Leveraging …

The operation of robust cybersecurity legislation plays a fundamental role in safeguarding
data privacy in an increasingly unified digital terrain, providing a legal framework that …

Edge computing has emerged as an innovative paradigm, promising to reshape the
landscape of computational processing by bringing data closer to the source of generation …

Abstract The integration of Artificial Intelligence (AI) in forensic investigations has
transformed evidence collection and analysis, enabling quicker and more accurate …