Many software security solutions—including malware analyzers, information flow tracking systems, auditing utilities, and host-based intrusion detectors—rely on knowledge of s...
Abhinav Srivastava, Andrea Lanzi, Jonathon T. Giff...
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...
With the advent of large-scale cloud computing infrastructures, network extension has emerged as a major challenge in the management of modern enterprise networks. Many enterprise...
This paper presents a genetic programming based detection system for Data Link layer attacks on a WiFi network. We explore the use of two different fitness functions in order to ...
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...