Emerging Research in AI-Driven Cybersecurity and Anomaly Detection in the Era of Generative AI
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 October 2024 | Viewed by 116
Special Issue Editors
Interests: artificial intelligence; quantum computing; machine learning; cyber security
Special Issues, Collections and Topics in MDPI journals
Interests: quantum computing; distributed sensor networks; deep learning; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Interests: quantum computing; artificial intelligence; machine learning; deep learning; big data; visualization; cybersecurity; advanced cyber analytics; memory forensics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the rapidly evolving landscape of cybersecurity, the advent of generative AI technologies has introduced both novel challenges and opportunities. This Special Issue aims to explore the cutting-edge developments and innovative approaches in this field. As AI systems become increasingly sophisticated, they are not only tools for enhancing security measures but also potential vectors for new types of cyber threats. This dual role of AI in cybersecurity demands a deep understanding and novel strategies to stay ahead of emerging threats.
This issue seeks to delve into how AI, particularly generative models, are reshaping the cybersecurity domain. It will cover a range of topics from the use of AI in detecting and responding to security incidents, to the implications of AI-generated content in digital forensics and information security.
We invite researchers from diverse disciplines to contribute original research articles as well as review papers in order to disseminate cutting-edge research for understanding and tackling complex systems. Our aim is to foster a comprehensive and interdisciplinary approach to AI-driven cybersecurity challenges.
Key topics include (but are not limited to):
- Advanced AI algorithms for real-time anomaly and intrusion detection;
- AI-driven threat intelligence and risk assessment;
- The impact of generative AI on cybersecurity strategies;
- Machine learning techniques for predicting and mitigating cyber attacks;
- AI in digital forensics and incident response;
- Ethical considerations and challenges in AI-driven cybersecurity;
- AI's role in combating deepfakes and AI-generated disinformation;
- Robustness of AI systems against adversarial attacks;
- Privacy-preserving AI techniques in cybersecurity;
- Applications of AI in securing critical infrastructure and IoT devices.
We encourage contributions that offer novel perspectives, empirical studies, and practical solutions to enhance the security posture in the era of generative AI. This Special Issue aims to be a platform for disseminating cutting-edge research and fostering interdisciplinary collaborations in AI-driven cybersecurity and anomaly detection.
We look forward to your valuable contributions to this timely and significant field.
Dr. Jayesh Soni
Dr. Nagarajan Prabakar
Dr. Upadhyay Himanshu
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. Information is an international peer-reviewed open access monthly 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.
Keywords
- generative AI and cybersecurity
- anomaly detection algorithms
- AI-driven threat intelligence
- digital forensics in AI era
- adversarial AI and security
- AI ethics in cybersecurity
- machine learning for cyber defense
- privacy and AI in cybersecurity
