Title :
P3FSM: Portable Predictive Pattern Matching Finite State Machine
Author :
Vespa, Lucas ; Mathew, Mini ; Weng, Ning
Author_Institution :
Dept. of Electr. & Comput. Eng., Southern Illinois Univ., Carbondale, IL, USA
Abstract :
Signature-based network intrusion detection requires fast and reconfigurable pattern matching for deep packet inspection. In our previous work we address this problem with a hardware based pattern matching engine that utilizes a novel state encoding scheme to allow memory efficient use of Deterministic Finite Automata. In this work we expand on these concepts to create a completely software based system, P3FSM, which combines the properties of hardware based systems with the portability and programmability of software. Specifically we introduce two methods, character aware and SDFA, for encoding predictive state codes which can forecast the next states of our FSM. The result is software based pattern matching which is fast, reconfigurable, memory-efficient and portable.
Keywords :
computer networks; deterministic automata; digital signatures; finite state machines; pattern matching; security of data; telecommunication security; deterministic finite automata; packet inspection; portable predictive pattern matching finite state machine; predictive state code encoding; reconfigurable pattern matching; signature-based network intrusion detection; software portability; software programmability; software-based system; Automata; Doped fiber amplifiers; Encoding; Engines; Hardware; Inspection; Intrusion detection; Pattern matching; Samarium; Software systems;
Conference_Titel :
Application-specific Systems, Architectures and Processors, 2009. ASAP 2009. 20th IEEE International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-0-7695-3732-0
Electronic_ISBN :
2160-0511
DOI :
10.1109/ASAP.2009.16