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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EnclaveFuzz: Finding Vulnerabilities in SGX Applications

Liheng Chen (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences; Institute for Network Science and Cyberspace of Tsinghua University), Zheming Li (Institute for Network Science and Cyberspace of Tsinghua University), Zheyu Ma (Institute for Network Science and Cyberspace of Tsinghua University), Yuan Li (Tsinghua University),…

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Learning Automated Defense Strategies Using Graph-Based Cyber Attack Simulations

Jakob Nyber, Pontus Johnson (KTH Royal Institute of Technology)

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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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