We present the Self-Protecting Session Initiation Protocol Stack capable of recognizing malicious SIP messages and protecting itself in high-load conditions. The stack model is based on the two-step processing and uses hash lookup tables and cellular automata rules to identify SIP message either as a regular or malicious one. Results show that a presented SIP stack exhibits very promising results with respect to messages classification and enables regular operation of SIP stack under high-load consisting of highly malicious traffic. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Rusinovic, Z., & Bogunovic, N. (2008). Self-protecting session initiation protocol stack. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5177 LNAI, pp. 717–724). Springer Verlag. https://doi.org/10.1007/978-3-540-85563-7_90
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