Indiana State University has found a way in its 25+ computing facilities to combine the need for a central stable lab image and small support staff with the academic needs of flex...
Most visualizations of security-related network data require large amounts of finely detailed, high-dimensional data. However, in some cases, the data available can only be coars...
Jonathan McPherson, Kwan-Liu Ma, Paul Krystosk, To...
All Internet-accessible computing systems are currently faced with incessant threats ranging from simple scriptkiddies to highly sophisticated criminal enterprises. In response to...
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
Marco Barreno, Blaine Nelson, Russell Sears, Antho...
This paper applies a new traffic model, iterated function systems (IFS) for network traffic modelling, to explore computer network behaviour and analyse network performance. IFS mo...