Mars Rayno (Colorado State University) and Jeremy Daily (Colorado State University)

CAN bus traces from repeated dynamic events often do not align. Dynamic Time Warping (DTW) is a tool used to efficiently align traces by time. For this demo, multiple CAN bus traces were taken from the same vehicle performing the same maneuvers. By using DTW, the similarity of the traces was able to be quantified. Specifically, CAN bus traces were compared from a heavy truck performing the same test sequence. DTW distance score showed 661 compared to the direct Euclidean distance score of 24032; this shows that utilizing DTW can accommodate differences in time during comparison of CAN traces. DTW techniques help improve pattern matching for similar driving behaviors.

View More Papers

Interpretable Federated Transformer Log Learning for Cloud Threat Forensics

Gonzalo De La Torre Parra (University of the Incarnate Word, TX, USA), Luis Selvera (Secure AI and Autonomy Lab, The University of Texas at San Antonio, TX, USA), Joseph Khoury (The Cyber Center For Security and Analytics, University of Texas at San Antonio, TX, USA), Hector Irizarry (Raytheon, USA), Elias Bou-Harb (The Cyber Center For…

Read More

An In-depth Analysis of Duplicated Linux Kernel Bug Reports

Dongliang Mu (Huazhong University of Science and Technology), Yuhang Wu (Pennsylvania State University), Yueqi Chen (Pennsylvania State University), Zhenpeng Lin (Pennsylvania State University), Chensheng Yu (George Washington University), Xinyu Xing (Pennsylvania State University), Gang Wang (University of Illinois at Urbana-Champaign)

Read More

Demo #12: Too Afraid to Drive: Systematic Discovery of...

Ziwen Wan (UC Irvine), Junjie Shen (UC Irvine), Jalen Chuang (UC Irvine), Xin Xia (UCLA), Joshua Garcia (UC Irvine), Jiaqi Ma (UCLA) and Qi Alfred Chen (UC Irvine)

Read More

Fuzzing Configurations of Program Options

Zenong Zhang (University of Texas at Dallas), George Klees (University of Maryland), Eric Wang (Poolesville High School), Michael Hicks (University of Maryland), Shiyi Wei (University of Texas at Dallas)

Read More