Distinguished lecture by Prof. Massimo Alioto - Attack Counteraction for Next-Generation Secure Chips
Intelligent & Perceptive Attack Counteraction for Next-Generation Secure Chips – From Sensing to Learning
Physical security of next-generation silicon systems mandates major advances at their physical boundary, and hence in both on-chip sensing for attack detection and on-chip actuation for attack counteraction. This has recently motivated the investigation of a new breed of on-chip sensor interfaces and actuators that can inexpensively monitor continuously the chip environment, gaining physical context awareness and capturing physical anomalies. This trend is progressively fusing with relentless advances in inexpensive on-chip (AI) intelligence, which can oversee physical signals and events to orchestrate the on-chip security ecosystem.
In this keynote, the road towards ubiquitous intelligent & perceptive hardware security countermeasures is illustrated through the analysis of recent silicon demonstrations with unprecedented capabilities to perceive security events inexpensively, and react to them intelligently, all the time (always-on). The new concept of hardware patching is also discussed where circuit flexibility is introduced to make silicon chips able to evolve over time and counteract newly discovered vulnerabilities through (machine) learning-based physical protection mechanisms. As key message, hardware security requires advances at the crossroads of sensor interfaces and AI inference/reinforcement learning with unprecedented energy efficiency.
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- ETH
- Gloriastrasse 35
- Zurich, Switzerland
- Switzerland 8006
- Building: ETZ building
- Room Number: E 7
Speakers
Prof. Massimo Alioto of ECE - National University of Singapore
Biography:
Professor Massimo Alioto is Provost Chair’s Professor at the Department of Electrical and Computer Engineering, National University of Singapore, where he directs the Green IC group, the Integrated Circuits and Embedded Systems area, and the HELIX Corporate Lab on embodied AI.
Previously, he held positions at the University of Siena, Intel Labs, University of Michigan Ann Arbor, University of California, Berkeley, and EPFL. He has authored more than 400 publications and five books for Springer, including the popular Enabling the Internet of Things - from Circuits to Systems (>80,000 downloads) His group’s research has been acknowledged with various best paper awards (e.g., ISSCC, ICECS) and by industry (e.g., technology highlight in TSMC annual report).
He was the Editor in Chief of the IEEE Transactions on VLSI Systems, and the Deputy Editor in Chief of the
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. He was the Chair of the Distinguished
Lecturer Program of the IEEE Circuits and Systems Society, and was Distinguished Lecturer both for the IEEE
Solid-State Circuits Society and the IEEE Circuits and Systems Society. He is in the AdCom of IEEE SSCS, and
was in the Board of Governors of CASS (2015-2020). He is/was Technical Program Chair in a number of top
IEEE conferences, Guest Editor and Associate Editor in all major journals of SSCS and CASS (JSSC, currently).
Prof. Alioto is an IEEE Fellow.
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