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...
In many applications string pattern matching is one of the most intensive tasks in terms of computation time and memory accesses. Network Intrusion Detection Systems and DNA Seque...
Ivano Bonesana, Marco Paolieri, Marco D. Santambro...
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Email worms continue to be a persistent problem, indicating that current approaches against this class of selfpropagating malicious code yield rather meagre results. Additionally,...
—Cyber attack behavior analysis can be roughly classified as “network centric” and “attacker centric” approaches. Compared with traditional “network centric” approach...