Continuous Threat Hunting: Expanding beyond alerts to detect modern threats with rigorous, repeatable threat hunting.

Cherlynn Cha (ExpressVPN)

Alerts serve as the backbone of most SOCs, but alerts alone cannot detect modern, advanced threats without being so noisy that they quickly induce analyst fatigue. Threat hunting has arisen as a complement to alerting, but most SOCs do not operationalize threat hunting with the same rigor as alerting. In this session, we will discuss how SOC teams can overcome this through a model we call Continuous Threat Hunting: using analytic-driven methods to cover more data, but with a standardized approach designed to produce repeatability, effectiveness, and confidence in result.

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Compromising Industrial Processes using Web-Based Programmable Logic Controller Malware

Ryan Pickren (Georgia Institute of Technology), Tohid Shekari (Georgia Institute of Technology), Saman Zonouz (Georgia Institute of Technology), Raheem Beyah (Georgia Institute of Technology)

MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models

Qi Pang (Carnegie Mellon University), Yuanyuan Yuan (HKUST), Shuai Wang (HKUST)

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.)