Current intrusion detection and prevention systems seek to detect a wide class of network intrusions (e.g., DoS attacks, worms, port scans) at network vantage points. Unfortunatel...
Ramana Rao Kompella, Sumeet Singh, George Varghese
This paper reports on the results of our recent NASA SBIR contract, “Autonomous Self-Repairing Circuits,” in which we developed a novel approach to fault-tolerant circuit synt...
Abstract. We consider the use of a cluster system for managing autonomous databases. In order to improve the performance of read-only queries, we strive to exploit user requirement...
The efficiency of promptly releasing security alerts of established analysis centers has been greatly challenged by the continuous emergence of various large scale network attack...
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...