About this Research Topic
Background:
Cybersecurity and AI have become increasingly important in today's interconnected world. Developments in them and because of them find their way regularly not only to the scientific literature but to the media as well. Notwithstanding the benefits of AI, the increasing use of and reliance on AI, including Machine Learning (ML), have created a complex threat landscape. On the other hand, cybercriminals have become more sophisticated and organized, targeting not only individuals but also organizations and even nations. These threat actors use advanced tactics, techniques, and procedures to exploit vulnerabilities to attack AI-powered systems. To mitigate these threats, it is essential to enhance our understanding of the risks involved and to develop effective, specially targeted, cybersecurity strategies and robust defensive mechanisms.
Goal:
The increasing pervasiveness of AI and related technologies, coupled with the growing sophistication of cybercriminals, has created a challenging threat landscape that requires innovative solutions to mitigate. This collection of articles seeks to showcase the latest research on any and all aspects of the intersection of cybersecurity and AI. The focus is on identifying cybersecurity needs and requirements; preventive cybersecurity measures; detecting attacks and intrusions; responding to cyber incidents; and on recovering from cyber incidents in the context of AI-powered IT and cyber-physical systems. To achieve this goal, we welcome contributions that investigate and address these challenges, including original ideas, methods, and real-world experiences.
Scope and Information for authors:
The scope of this Research Topic is on the areas of cybersecurity for AI; cybersecurity of AI; and malicious use of AI. We welcome original ideas, methods, and real-world experiences that investigate and address relevant advances, challenges, opportunities, and threats. We encourage authors to submit research articles, review articles, short communications, as well as surveys and state-of-the-art reports that can provide insights into recent advances and innovative solutions to the challenges faced at the intersection of cybersecurity and AI. The specific topics that the contributors may address include but are not limited to risk analysis and management; access control; situational awareness; intrusion detection; incident response; digital forensics. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere.
Call for Papers:
Cybersecurity and Artificial Intelligence (AI) are domains of intense research activity. However, how one domain influences the other is less widely known and has been insufficiently researched. A tridimensional relationship between AI and cybersecurity exists:
(i) cybersecurity of AI;
(ii) AI to support cybersecurity;
(iii) malicious use of AI.
This Research Topic invites original research articles, review articles, and short communications that explore innovative ideas, methodologies, and practical experiences related to advances, challenges, opportunities and threats in and because of the intersection of cybersecurity and AI. The aim is to bring together researchers and practitioners who can share their insights and knowledge on the latest advancements in these areas. We encourage contributions in all areas on a range of topics, including but not limited to:
• Vulnerabilities of AI models and algorithms
• Threats and attacks against AI-based IT systems and cyber-physical systems
• Adversarial model inference and data manipulation
• Data protection/privacy in the context of AI systems
• AI-powered antivirus
• AI-powered cyber threat intelligence (CTI)
• AI-powered forensics
• AI-powered malware analysis and malware detection
• AI-powered cyber defence
• AI-powered malware
• AI-powered social engineering
• AI-enhanced cyber attacks
We welcome contributions that present state-of-the-art reports, surveys, case studies, or any other original research on these topics. Manuscripts should be submitted online through the submission form. All submissions will undergo a rigorous peer-review process to ensure the quality and relevance of the contributions. Please note that manuscripts submitted to this themed article collection should not have been published previously, nor should they be under consideration for publication elsewhere. We look forward to receiving your contributions and hope that this collection will serve as a valuable platform for advancing research and innovation at the intersection of cybersecurity and AI.
Cybersecurity and AI have become increasingly important in today's interconnected world. Developments in them and because of them find their way regularly not only to the scientific literature but to the media as well. Notwithstanding the benefits of AI, the increasing use of and reliance on AI, including Machine Learning (ML), have created a complex threat landscape. On the other hand, cybercriminals have become more sophisticated and organized, targeting not only individuals but also organizations and even nations. These threat actors use advanced tactics, techniques, and procedures to exploit vulnerabilities to attack AI-powered systems. To mitigate these threats, it is essential to enhance our understanding of the risks involved and to develop effective, specially targeted, cybersecurity strategies and robust defensive mechanisms.
Goal:
The increasing pervasiveness of AI and related technologies, coupled with the growing sophistication of cybercriminals, has created a challenging threat landscape that requires innovative solutions to mitigate. This collection of articles seeks to showcase the latest research on any and all aspects of the intersection of cybersecurity and AI. The focus is on identifying cybersecurity needs and requirements; preventive cybersecurity measures; detecting attacks and intrusions; responding to cyber incidents; and on recovering from cyber incidents in the context of AI-powered IT and cyber-physical systems. To achieve this goal, we welcome contributions that investigate and address these challenges, including original ideas, methods, and real-world experiences.
Scope and Information for authors:
The scope of this Research Topic is on the areas of cybersecurity for AI; cybersecurity of AI; and malicious use of AI. We welcome original ideas, methods, and real-world experiences that investigate and address relevant advances, challenges, opportunities, and threats. We encourage authors to submit research articles, review articles, short communications, as well as surveys and state-of-the-art reports that can provide insights into recent advances and innovative solutions to the challenges faced at the intersection of cybersecurity and AI. The specific topics that the contributors may address include but are not limited to risk analysis and management; access control; situational awareness; intrusion detection; incident response; digital forensics. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere.
Call for Papers:
Cybersecurity and Artificial Intelligence (AI) are domains of intense research activity. However, how one domain influences the other is less widely known and has been insufficiently researched. A tridimensional relationship between AI and cybersecurity exists:
(i) cybersecurity of AI;
(ii) AI to support cybersecurity;
(iii) malicious use of AI.
This Research Topic invites original research articles, review articles, and short communications that explore innovative ideas, methodologies, and practical experiences related to advances, challenges, opportunities and threats in and because of the intersection of cybersecurity and AI. The aim is to bring together researchers and practitioners who can share their insights and knowledge on the latest advancements in these areas. We encourage contributions in all areas on a range of topics, including but not limited to:
• Vulnerabilities of AI models and algorithms
• Threats and attacks against AI-based IT systems and cyber-physical systems
• Adversarial model inference and data manipulation
• Data protection/privacy in the context of AI systems
• AI-powered antivirus
• AI-powered cyber threat intelligence (CTI)
• AI-powered forensics
• AI-powered malware analysis and malware detection
• AI-powered cyber defence
• AI-powered malware
• AI-powered social engineering
• AI-enhanced cyber attacks
We welcome contributions that present state-of-the-art reports, surveys, case studies, or any other original research on these topics. Manuscripts should be submitted online through the submission form. All submissions will undergo a rigorous peer-review process to ensure the quality and relevance of the contributions. Please note that manuscripts submitted to this themed article collection should not have been published previously, nor should they be under consideration for publication elsewhere. We look forward to receiving your contributions and hope that this collection will serve as a valuable platform for advancing research and innovation at the intersection of cybersecurity and AI.
Keywords: Cybersecurity, Artificial Intelligence, Adversarial machine learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
