AIoTS 2021 - 3rd International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security (AIoTS)
Topics/Call fo Papers
In recent years, Artificial Intelligence (AI) has got a lot of attention, especially, for the success of deep learning to address problems that were considered hard before. Big players such as Google, Amazon and Baidu are exploring the application of AI in different markets like healthcare, FinTech and autonomous vehicles. Along with AI, other technologies such Internet-of-Things (IoT) have boosted other areas like the case of Industry 4.0, where through the adoption of Industrial-IoT into the production chain companies want to have a smarter manufacture that can be adapted to their customers’ needs.
The accelerating adoption of new technologies brings new challenges especially associated with the cybersecurity of the applications, where confidentiality, integrity and availability of data are important but also safety properties since applications interact physically with people or other assets. The intersection of AI and cybersecurity can be seen as a two-fold relationship. In one side AI techniques can be adopted to improve the state-of-the-art of security solutions, while on the other side, cybersecurity can contribute to improving the study of the security of AI algorithms through the exploration of adversarial machine learning.
This workshop aims to open a space where new research ideas from different areas converge into the intersection of AI, IoT, Cyber-Physical Systems (CPS) and cybersecurity. We encourage researchers in the fields of AI, embedded systems, CPS and cybersecurity to take the opportunity to use this workshop for sharing their work and open the discussion of new ideas in this always-evolving topic.
Topics of Interest
Adversarial Machine Learning
AI applications in Detection, Prevention and Response of Cyber Attacks
Applied Cryptography
Cyber-Physical Systems Security
Applications of Formal Methods to IoT Security
Applications of Blockchain to IoT
Critical Infrastructure Security
Embedded Security
Intrusion Detection Powered by AI
Privacy-Preserving Machine Learning
Security of Industrial IoT
Cyber Threat Intelligence for AI and IoT
The accelerating adoption of new technologies brings new challenges especially associated with the cybersecurity of the applications, where confidentiality, integrity and availability of data are important but also safety properties since applications interact physically with people or other assets. The intersection of AI and cybersecurity can be seen as a two-fold relationship. In one side AI techniques can be adopted to improve the state-of-the-art of security solutions, while on the other side, cybersecurity can contribute to improving the study of the security of AI algorithms through the exploration of adversarial machine learning.
This workshop aims to open a space where new research ideas from different areas converge into the intersection of AI, IoT, Cyber-Physical Systems (CPS) and cybersecurity. We encourage researchers in the fields of AI, embedded systems, CPS and cybersecurity to take the opportunity to use this workshop for sharing their work and open the discussion of new ideas in this always-evolving topic.
Topics of Interest
Adversarial Machine Learning
AI applications in Detection, Prevention and Response of Cyber Attacks
Applied Cryptography
Cyber-Physical Systems Security
Applications of Formal Methods to IoT Security
Applications of Blockchain to IoT
Critical Infrastructure Security
Embedded Security
Intrusion Detection Powered by AI
Privacy-Preserving Machine Learning
Security of Industrial IoT
Cyber Threat Intelligence for AI and IoT
Other CFPs
- 2nd workshop on Artificial Intelligence in Hardware Security (AIHWS)
- Security in Machine Learning and its Applications (SiMLA 2021)
- 19th International Conference on Applied Cryptography and Network Security
- International Workshop on Security in Mobile Technologies
- 3rd Workshop on Parallel AI and Systems for the Edge
Last modified: 2020-12-27 10:33:43