Eric Dull, Drew Walsh, Scott Riede (Deloitte and Touche)

Cyber has been the original big-data for decades. Since Denning and Neumann’s 1985 whitepaper on statistical analysis for intrusion detection systems1, cyber has seen the need for complex event processors to manage the scale of cyber data. Security Operations Centers (SOCs) have been successful in overcoming this challenge, as evidenced by the rise of behavioral analytics, supervised machine learning methods, training data sets, and the scaling of technology. This talk will describe the strategies used in successful automation, AI adoption, and implementation and offer a framework for engaging executives to help guide effective AI use in the broader organization outside of the SOC.

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The Advantages of Distributed TCAM Firewalls in Automotive Real-Time...

Evan Allen (Virginia Tech), Zeb Bowden (Virginia Tech Transportation Institute), J. Scot Ransbottom (Virginia Tech)

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MadRadar: A Black-Box Physical Layer Attack Framework on mmWave...

David Hunt (Duke University), Kristen Angell (Duke University), Zhenzhou Qi (Duke University), Tingjun Chen (Duke University), Miroslav Pajic (Duke University)

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On Precisely Detecting Censorship Circumvention in Real-World Networks

Ryan Wails (Georgetown University, U.S. Naval Research Laboratory), George Arnold Sullivan (University of California, San Diego), Micah Sherr (Georgetown University), Rob Jansen (U.S. Naval Research Laboratory)

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BliMe: Verifiably Secure Outsourced Computation with Hardware-Enforced Taint Tracking

Hossam ElAtali (University of Waterloo), Lachlan J. Gunn (Aalto University), Hans Liljestrand (University of Waterloo), N. Asokan (University of Waterloo, Aalto University)

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