This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
Accurate and real-time traffic measurement is becoming increasingly critical for large variety of applications including accounting, bandwidth provisioning and security analysis. ...
Faisal Khan, Lihua Yuan, Chen-Nee Chuah, Soheil Gh...
Protecting users' privacy is becoming one of the rising issues for the success of future communications. The Internet in particular, with its open architecture, presents sever...
In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo se...
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...