Takami Sato, Ningfei Wang (University of California, Irvine), Yueqiang Cheng (NIO Security Research), Qi Alfred Chen (University of California, Irvine)

Automated Lane Centering (ALC) is one of the most popular autonomous driving (AD) technologies available in many commodity vehicles. ALC can reduce the human driver’s efforts by taking over their steering work. However, recent research alerts that ALC can be vulnerable to off-road attacks that lead victim vehicles out of their driving lane. To be secure against off-road attacks, this paper explores the potential defense capability of low-quality localization and publicly available maps against off-road attacks against autonomous driving. We design the first map-fusion-based off-road attack detection approach, LaneGuard, LaneGuard detects off-road attacks based on the difference between the observed road shape and the driver-predefined route shape. We evaluate LaneGuar on large-scale real-world driving traces consisting of 80 attack scenarios and 11,558 benign scenarios. We find that LaneGuard can achieve an attack detection rate of 89% with a 12% false positive rate. In real-world highway driving experiments, LaneGuard exhibits no false positives while maintaining a near-zero false negative rate against simulated attacks.

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Merge/Space: A Security Testbed for Satellite Systems

M. Patrick Collins (USC Information Sciences Institute), Alefiya Hussain (USC Information Sciences Institute), J.P. Walters (USC Information Sciences Institute), Calvin Ardi (USC Information Sciences Institute), Chris Tran (USC Information Sciences Institute), Stephen Schwab (USC Information Sciences Institute)

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UntrustIDE: Exploiting Weaknesses in VS Code Extensions

Elizabeth Lin (North Carolina State University), Igibek Koishybayev (North Carolina State University), Trevor Dunlap (North Carolina State University), William Enck (North Carolina State University), Alexandros Kapravelos (North Carolina State University)

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VETEOS: Statically Vetting EOSIO Contracts for the “Groundhog Day”...

Levi Taiji Li (University of Utah), Ningyu He (Peking University), Haoyu Wang (Huazhong University of Science and Technology), Mu Zhang (University of Utah)

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Front-running Attack in Sharded Blockchains and Fair Cross-shard Consensus

Jianting Zhang (Purdue University), Wuhui Chen (Sun Yat-sen University), Sifu Luo (Sun Yat-sen University), Tiantian Gong (Purdue University), Zicong Hong (The Hong Kong Polytechnic University), Aniket Kate (Purdue University)

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