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Dr. Yangqiu Song and his collaboration with members at West Virginia University and Comodo Security Solutions, Inc. received the Best Paper Award in applied data science track with a paper titled "HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network" at the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2017). The event took place on 13-17 August 2017 in Halifax, Nova Scotia, Canada.
The paper aims to analyse different relationships between Android malware and Application Programming Interface (API) and create higher-level semantics which require more efforts for attackers to evade the detection. Based on the extracted features, a novel Android malware detection framework, Hindroid, was presented. It introduces a structured heterogeneous information network (HIN), representing Android apps, and a meta-path based approach to link the apps.
Congratulations to Dr. Song and his collaborators!