Data streaming systems are becoming essential for monitoring applications such as financial analysis and network intrusion detection. These systems often have to process many simi...
Sailesh Krishnamurthy, Chung Wu, Michael J. Frankl...
The challenge of monitoring massive amounts of data generated by communication networks has led to the interest in data stream processing. We study streams of edges in massive com...
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
A Shrew attack, which uses a low-rate burst carefully designed to exploit TCP’s retransmission timeout mechanism, can throttle the bandwidth of a TCP flow in a stealthy manner....
While video-based activity analysis and recognition has received much attention, existing body of work mostly deals with single object/person case. Coordinated multi-object activi...