Capturing Fast-Flux Service Networks (FFSNs) by temporal variances is an intuitive way for seeking to identify rapid changes of DNS records. Unfortunately, the features regard to ...
In this work we develop an approach for anomaly detection for large scale networks such as that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that...
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in realworld surveillance scenarios. The algorithm is bas...
We review a memory-based buffer model of visual perception, that combines the lower and middle stages in the analysis of video. This model was originally developed for the detecti...
Due to resource constraints, Web archiving systems and search engines usually have difficulties keeping the entire local repository synchronized with the Web. We advance the state...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...