Artificial Intelligence in Modern Cybersecurity: Changes, Applications and Challenges
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 24
Special Issue Editors
Interests: artificial intelligence; edge computing; connected autonomous vehicles; LLM; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Interests: connected and autonomous vehicles; edge and cloud computing; cyberinfrastructures; cybersecurity; distributed and IoT systems; intelligent systems; machine learning; high performance computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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
Manuscript Submission Information
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Keywords
- artificial intelligence (AI)
- cybersecurity
- machine learning
- intrusion detection systems
- malware analysis
- threat intelligence
- privacy-preserving machine learning
- ethical AI
- security automation
- anomaly detection
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