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Speaker: Vern Paxson
Affiliation: UC Berkeley

ABSTRACT: Many of the most costly security compromises that enterprises suffer manifest as tiny trickles of behavior hidden within oceans of other site activity. This talk will exam the problem of developing robust detectors for particular forms of such activity.  The themes include research pitfalls, the crucial need to leverage domain knowledge in an apt fashion, and why machine learning is very difficult to effectively apply for such problems. BIO: Vern Paxson is a Professor of EECS at UC Berkeley, and co-founder and Chief Scientist of Corelight, a company based on the network monitoring technology he has developed for many years.  He also leads the Networking and Security Group at the International Computer Science Institute in Berkeley.  His research focuses heavily on measurement-based analysis of network activity and Internet attacks.  He works extensively on high performance network monitoring, detection algorithms, cybercrime, and countering censorship and abusive surveillance.  He was inducted in 2006 as a Fellow of the ACM, and in 2011 he received ACM’s SIGCOMM Award “for his seminal contributions to the fields of Internet measurement and Internet security, and for distinguished leadership and service to the Internet community.” His measurement work has also been recognized by ACM’s Grace Murray Hopper Award and by the 2015 IEEE Internet Award.

 Hosted by Professor Lixia Zhang – Professor George Varghese


Date(s) - Feb 01, 2018
4:15 pm - 5:45 pm


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