[TALK33] 13.12.2023 Revisiting Wireless Security – Muriel Medard (MIT)
On Fri, Dec 13th, 2023, 2pm CET, we welcome Muriel Medard from the Massachusetts Institute of Technology (MIT) on “Revisiting Wireless Security”.
You are cordially invited to join the free live stream on youtube and LinkedIn! Please share the link https://talk.cybercni.fr/33 with your interested friends!
Trailer: https://youtu.be/Nx1lpDqvJOE
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Abstract
Wireless security has progressed from an area of specialized interest to a matter of discussion in the mainstream press. The attention the issue receives is in great part due to the increased societal reliance on wireless connectivity, be it by the advent of 5G, or by the heavy use of WiFi for remote work in the last couple of years. On the technical side, the confluence of multiple factors has made the topic increasingly complex. First, the heterogeneity of manufacturers and technologies, ranging from traditional mobile systems to WiFi and satellite, render a centrally orchestrated security solution impractical. Second, the introduction of new technologies, particularly at very high frequencies, present new settings in terms of propagation and associate vulnerabilities. Third, traditional wiretap approaches are not robust to recent security analysis based on guessing attacks. Fourth, the erosion of traditional cryptographic schemes, such as RSA, by quantum computing, coupled with the rise of the possibility of such quantum computation, imply that reliance on traditional data hiding is increasingly fraught. Finally, the widespread use of federated learning entails that a highly connected, omnipresent wireless ecosystem also presents new and complex risks in terms of privacy.
In this talk, we argue that the many of the above developments can, when exploited well, be seen not as vulnerabilities but as techniques to enhance security. Heterogeneous settings permit, through network coding, light-weight, in terms of computational and rate overhead, post-quantum secure operation of networks without central coordination. Leveraging these post-quantum schemes, transmissions at high frequencies can be fashioned to obtain absolute security, which does not rely on statistical notions of signal to noise ratios as in conventional wiretap schemes. Guessing random additive noise decoding (GRAND™) provides the ability to incorporate encryption into error-correcting coding directly. Privacy management even in distributed, uncertain settings, can be enhanced by combining machine learning techniques with coding.
Watch the trailer linked above!
Muriel Medard
Muriel Médard is the NEC Professor of Software Science and Engineering in the Electrical Engineering and Computer Science (EECS) Department at MIT, where she leads the Network Coding and Reliable Communications Group in the Research Laboratory for Electronics at MIT and Chief Scientist for Steinwurf, which she has co-founded. She obtained three Bachelors degrees, as well as her M.S. and Sc.D, all from MIT. Muriel has supervised over 40 master students, over 20 doctoral students and over 25 postdoctoral fellows. Muriel currently serves as the Editor-in-Chief of the IEEE Transactions on Information Theory and served previously as Editor in Chief of the IEEE Journal on Selected Areas in Communications. Muriel was elected president of the IEEE Information Theory Society in 2012, and serves on its board of governors, having previously served for eleven years. She has over sixty US and international patents awarded, the vast majority of which have been licensed or acquired.
About the Massachusetts Institute of Technology (MIT)
The Massachusetts Institute of Technology is a private research university in Cambridge, Massachusetts. Established in 1861, MIT has played a significant role in the development of many areas of modern technology and science.In particular, the Department of Electrical Engineering and Computer Science is the largest department at MIT, annually preparing hundreds of graduate and undergraduate students for career leadership in fields such as academia, research, and the high-technology industry. Part of both the Schwarzman College of Computing and the School of Engineering, MIT EECS consistently tops the U.S. News & World Report and other college rankings and is widely recognized for its world-class faculty, who provide outstanding education and conduct innovative and award-winning research.
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