Artificial Intelligence in Modern Cybersecurity: Changes, Applications and Challenges

Dear Colleagues,

The integration of Artificial Intelligence (AI) into cybersecurity has significantly influenced the methodologies employed in threat detection, risk assessment, and incident response. AI techniques, including machine learning and deep learning, have been utilized to analyze complex datasets, identify anomalies, and automate responses to potential threats. This Special Issue aims to examine the current landscape of AI applications in cybersecurity, focusing on the development and evaluation of algorithms that enhance security measures.

We invite contributions that explore theoretical frameworks, algorithmic innovations, and practical implementations of AI in cybersecurity contexts. Topics of interest include, but are not limited to, AI-based intrusion detection systems, malware analysis, threat intelligence, privacy-preserving machine learning, and the ethical considerations surrounding the deployment of AI in security infrastructures. By consolidating research from academia and industry, this issue seeks to provide a comprehensive overview of the advancements and ongoing challenges at the nexus of AI and cybersecurity.

Dr. Sihai Tang
Prof. Dr. Song Fu
Guest Editors

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