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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HistCAN: A real-time CAN IDS with enhanced historical traffic...

Shuguo Zhuo, Nuo Li, Kui Ren (The State Key Laboratory of Blockchain and Data Security, Zhejiang University)

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SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing

Lian Gao (University of California Riverside), Yu Qu (University of California Riverside), Sheng Yu (University of California, Riverside & Deepbits Technology Inc.), Yue Duan (Singapore Management University), Heng Yin (University of California, Riverside & Deepbits Technology Inc.)

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Don't Interrupt Me – A Large-Scale Study of On-Device...

Marian Harbach (Google), Igor Bilogrevic (Google), Enrico Bacis (Google), Serena Chen (Google), Ravjit Uppal (Google), Andy Paicu (Google), Elias Klim (Google), Meggyn Watkins (Google), Balazs Engedy (Google)

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GraphGuard: Detecting and Counteracting Training Data Misuse in Graph...

Bang Wu (CSIRO's Data61/Monash University), He Zhang (Monash University), Xiangwen Yang (Monash University), Shuo Wang (CSIRO's Data61/Shanghai Jiao Tong University), Minhui Xue (CSIRO's Data61), Shirui Pan (Griffith University), Xingliang Yuan (Monash University)

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