Artificial Intelligence in Effective Intrusion Detection for Clouds

Dear Colleagues,

Cloud computing has revolutionized the way organizations manage and store data, offering unparalleled scalability, flexibility, and cost-efficiency. However, the widespread adoption of cloud services has also introduced new security challenges, including the risk of cyber attacks and data breaches. Intrusion detection systems (IDSs) play a critical role in protecting cloud infrastructures by monitoring and identifying malicious activities in real-time. Traditional IDS approaches, however, often struggle to keep up with the rapidly evolving nature of cyber threats.

To address these challenges, this Special Issue focuses on the integration of artificial intelligence (AI) techniques to enhance the effectiveness of intrusion detection in cloud environments. AI offers the promise of intelligent, adaptive, and autonomous IDS solutions capable of identifying and mitigating security breaches more effectively than traditional methods.

The goal of this Special Issue is to bring together researchers and practitioners from academia and industry to explore recent advances, challenges, and opportunities in AI-driven intrusion detection for clouds. We invite original research articles and review papers that contribute to the development of innovative AI-based IDS solutions for cloud security. Topics include, but are not limited to, the following:

• Novel AI algorithms and models for intrusion detection in cloud environments;
• Integration of machine learning, deep learning, and data mining in IDS for clouds;
• Adaptive and self-learning IDS systems for dynamic cloud architectures;
• Big data analytics and anomaly detection for cloud security;
• AI-driven threat intelligence and risk assessment in cloud infrastructures;
• Performance evaluation and benchmarking of AI-based IDS solutions;
• Privacy-preserving techniques and ethical considerations in AI-driven intrusion detection;
• Case studies, practical implementations, and real-world applications of AI in cloud security.

You may choose our Joint Special Issue in Network.

Dr. Stavros Shiaeles
Guest Editor

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• artificial intelligence
• intrusion detection
• cloud computing
• machine learning
• deep learning
• cybersecurity
• network security
• threat detection