Cybersecurity and Artificial Intelligence: Current and Future Developments

Dear Colleagues,

This Special Issue titled "Cybersecurity and Artificial Intelligence: Current and Future Developments" provides a comprehensive exploration of the sophisticated relationship between cybersecurity and artificial intelligence (AI). In the current technological landscape, cyber threats are escalating in sophistication, demanding innovative approaches to reinforce digital defenses. This Special Issue showcases cutting-edge research on AI-driven cybersecurity solutions, emphasizing their efficacy in adapting to evolving threat vectors. Machine learning algorithms and natural language processing techniques are highlighted for their ability to analyze vast datasets and detect patterns, enhancing threat intelligence across diverse industries. However, this collection also critically examines the challenges and ethical considerations associated with the integration of AI in cybersecurity. Issues such as bias in AI algorithms, the potential for malicious use, and privacy concerns are addressed to encourage an understanding of responsible AI deployment. Looking forward, this Special Issue envisions the convergence of quantum computing, the blockchain, and AI, offering insights into the future of proactive threat hunting, automated incident response, and self-healing systems. The interdisciplinary nature of the contributions, spanning computer science, ethics, law, and policy, can stimulate discussion and discourse, making this collection an invaluable resource for academics, practitioners, and policymakers navigating the complex landscape of securing the digital realm in the age of AI. In essence, this Special Issue serves as a collection of knowledge, providing a universal perspective on the current state and future trajectories of the dynamic relationship between cybersecurity and artificial intelligence.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

1. Adversarial machine learning in cybersecurity;
2. Integrating AI for threat detection and prevention;
3. Ethical considerations of AI-driven cybersecurity;
4. Secure and privacy-preserving AI algorithms;
5. AI-powered incident response and forensics;
6. Machine learning for anomaly detection in network traffic;
7. Role of AI in predictive cyber risk assessment;
8. Deep learning approaches for malware analysis;
9. AI-driven authentication and access control;
10. The intersection of blockchain and AI in cybersecurity;
11. AI in cybersecurity policy and governance;
12. Securing IoT devices with artificial intelligence;
13. Human factors in AI-enhanced cybersecurity;
14. Cyber threat intelligence using machine learning models;
15. Explainability and transparency of AI for cybersecurity.

Dr. Sheikh Tahir Bakhsh
Dr. Sabeen Tahir
Dr. Basit Shahzad
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AI is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• AI-driven cybersecurity
• ethical considerations
• future directions
• interdisciplinary perspectives
• digital resilience