Short sequences of system calls have been proven to be a good signature description for anomalous intrusion detection. The signature provides clear separation between different kinds of programs. This paper extends these works by applying fuzzy neural network (FNN) to solve the sharp boundary problem and decide whether a sequence is "normal" or "abnormal". By using threat level of system calls to label the sequences the proposed FNN improves the accuracy of anomaly detection. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Zhang, G., & Sun, J. (2005). Applying fuzzy neural network to intrusion detection based on sequences of system calls. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3584 LNAI, pp. 483–490). Springer Verlag. https://doi.org/10.1007/11527503_58
Mendeley helps you to discover research relevant for your work.