Since current internet threats contain not only malicious codes like Trojan or worms, but also spyware and adware which do not have explicit illegal content, it is necessary to hav...
— Automated detection of anomalies in network traffic is an important and challenging task. In this work we propose an automated system to detect volume-based anomalies in netwo...
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
—Modern networks are complex and hence, network operators often rely on automation to assist in assuring the security, availability, and performance of these networks. At the cor...
Kaustubh Nyalkalkar, Sushant Sinha, Michael Bailey...
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...