Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms
IEEE Trans. Knowl. Data Eng., Volume 28, Issue 8, 2016, Pages 2187-2200.
Many commercial products and academic research activities are embracing behavior analysis as a technique for improving detection of attacks of many sorts - from retweet boosting, hashtag hijacking to link advertising. Traditional approaches focus on detecting dense blocks in the adjacency matrix of graph data, and recently, the tensors of...More
Full Text (Upload PDF)