We present a payload-based anomaly detector, we call PAYL, for intrusion detection. PAYL models the normal application payload of network traffic in a fully automatic, unsupervised...
Application-level protocol analyzers are important components in tools such as intrusion detection systems, firewalls, and network monitors. Currently, protocol analyzers are wri...
Nikita Borisov, David Brumley, Helen J. Wang, John...
We propose a new configuration language, component and service library, and compiler that make it easier to develop efficient sensor network applications. Our goal is the constr...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system...