Visible to the public Hardware-enabled AI for Embedded Security: A New Paradigm

TitleHardware-enabled AI for Embedded Security: A New Paradigm
Publication TypeConference Paper
Year of Publication2019
AuthorsFacon, Adrien, Guilley, Sylvain, Ngo, Xuan-Thuy, Perianin, Thomas
Conference Name2019 3rd International Conference on Recent Advances in Signal Processing, Telecommunications Computing (SigTelCom)
Keywordsartificial intelligence, Artificial Intelligence (AI), artificial intelligence security, chip power budget, chip security, composability, Cyber-Physical Attacks., Cyber-Protection, decision making process, embedded security, hardware-enabled AI, heterogeneous security sensors, Human Behavior, Intelligent sensors, learning (artificial intelligence), learning procedures, low false positive detection rate, Metrics, Monitoring, multiple security sensors, physical attacks, privacy, pubcrawl, Resiliency, Scalability, security, security event handling, security of data, security-oriented AI logic, sensor security, signal processing security, silicon area, sufficient protection level, Temperature measurement, Temperature sensors, threat detection

As chips become more and more connected, they are more exposed (both to network and to physical attacks). Therefore one shall ensure they enjoy a sufficient protection level. Security within chips is accordingly becoming a hot topic. Incident detection and reporting is one novel function expected from chips. In this talk, we explain why it is worthwhile to resort to Artificial Intelligence (AI) for security event handling. Drivers are the need to aggregate multiple and heterogeneous security sensors, the need to digest this information quickly to produce exploitable information, and so while maintaining a low false positive detection rate. Key features are adequate learning procedures and fast and secure classification accelerated by hardware. A challenge is to embed such security-oriented AI logic, while not compromising chip power budget and silicon area. This talk accounts for the opportunities permitted by the symbiotic encounter between chip security and AI.

Citation Keyfacon_hardware-enabled_2019