Abstract: Evidence of some attacks can be manifested by abnormal sequences of system calls of programs. Most approaches that have been developed so far mainly concentrate on some p...
Jidong Long, Daniel G. Schwartz, Sara Stoecklin, M...
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...