Tutorial 4: AI in Security – A Potential to Make and Break a Secure Connected World

Tutorial 4: AI in Security – A Potential to Make and Break a Secure Connected World Speaker: Prof. Debdeep Mukhopadhyay (IIT KGP) Tutorial Abstract: In this part of the talk, we provide a detailed overview on both the boon and bane of AI on Security. To be more specific we start with describing how Machine Learning (ML)/Deep Learning(DL) can be leveraged to perform advanced side channel attacks on cryptographic implementations. Subsequently, we present deep learning based methodologies for leakage assessment due to fault attacks on crypto-devices. We further present a state-of-the-art overview on the threats of machine learning in modeling Physically Unclonable Functions (PUFs), a promising hardware security primitive. Subsequently, we look at the opportunities from DL based methods in developing effective diagnostic tools for powerful malwares. We present case-studies on using Performance Counter based approaches in detecting menacing threats like ransomware and rowhammer attacks. About Speakers: Prof. Debdeep Mukhopadhyay is currently a Professor at the Department of Computer Science and Engineering, IIT Kharagpur, India. At IIT Kharagpur he initiated the Secured Embedded Architecture Laboratory (SEAL), with a focus on Hardware Security. He had worked as, visiting scientist at NTU Singapore, visiting Associate Professor of NYU Shanghai, Assistant Professor at IIT Madras, and Visiting Researcher at NYU Tandon School of Engineering, USA. He holds a Ph.D., an M.S., and a B.Tech from IIT Kharagpur. His books include Fault Tolerant Architectures for Cryptography and Hardware Security (Springer), Cryptography and Network Security (Mc GrawHills), Hardware Security: Design, Threats, and Safeguards (CRC Press), and Timing Channels in Cryptography (Springer). He has written more than 250 papers in peer-reviewed conferences and journals and collaborated with several Indian/Foreign Organizations. He has been on the program committee and editorial boards of several top international conferences and journals. Prof. Mukhopadhyay is the recipient of the prestigious Shanti Swarup Bhatnagar Award 2021 for Science & Technology, and is a Fellow of the Indian National Academy of Engineers. He was awarded the DST Swarnajayanti Fellowship 2015-16, Data Security Council of India Award for Cyber Security Education, ASEM-DUO Fellowship, INSA Young Scientist award, INAE Young Engineer award, Associateship for the Indian Academy of Sciences. He was awarded the Outstanding Young Faculty fellowship from IIT Kharagpur, and the Techno-Inventor Best PhD award from the Indian Semiconductor Association. He has recently incubated a start-up on Hardware Security, ESP Pvt. Ltd. at IIT Kharagpur, and is a senior member of IEEE and ACM. Manaar Alam is currently a Postdoctoral Associate at the Modern Microprocessors Architecture Laboratory, Center for Cyber Security – Research Institute, NYU Abu Dhabi, UAE. Manaar holds a PhD degree in Computer Science and Engineering from IIT Kharagpur, India. He received the prestigious IBM PhD Fellowship award during his PhD. He also holds an MTech degree from IIT Dhanbad, India, and a BTech degree from IEM Kolkata, India. He worked as a Visiting Research Assistant at NTU Singapore.