Advanced Smart Computing Technologies in Cybersecurity and Forensics

Explores various aspects of cybersecurity and digital forensics, emphasizing the role of advanced computing technologies like artificial intelligence, machine learning, deep neural networks, and blockchain. The chapters cover topics such as network intrusion detection systems (NIDS) using Naïve Bayes classification, mobile forensics and the analysis of digital evidence, and cryptography, including DNA-based cryptosystems. Furthermore, the text examines kernel vulnerabilities and their analysis using machine learning algorithms like Random Forest, discusses malware analysis and investigation techniques, and addresses security challenges in IoT environments, particularly lightweight cryptography and fault analysis attacks. The book highlights the evolving landscape of cyber threats and the continuous need for innovative defensive mechanisms.

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