A regular expression matching using non-deterministic finite automaton

2010 ◽  
Author(s):  
Hiroki Nakahara ◽  
Tsutomu Sasao ◽  
Munehiro Matsuura
Keyword(s):  
Finite Automaton ◽  
Regular Expression ◽  
Deterministic Finite Automaton ◽  
Regular Expression Matching

scholarly journals Packet Payload Monitoring for Internet Worm Content Detection Using Deterministic Finite Automaton with Delayed Dictionary Compression

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Divya Selvaraj ◽  
Padmavathi Ganapathi
Keyword(s):  
Finite Automaton ◽  
Regular Expression ◽  
Deterministic Finite Automaton ◽  
Memory Space ◽  
Internet Worm ◽  
Regular Expression Matching ◽  
Monitoring Applications ◽  
Communication Links ◽  
Worm Attacks ◽  
Memory Utilization

Packet content scanning is one of the crucial threats to network security and network monitoring applications. In monitoring applications, payload of packets in a network is matched against the set of patterns in order to detect attacks like worms, viruses, and protocol definitions. During network transfer, incoming and outgoing packets are monitored in depth to inspect the packet payload. In this paper, the regular expressions that are basically string patterns are analyzed for packet payloads in detecting worms. Then the grouping scheme for regular expression matching is rewritten using Deterministic Finite Automaton (DFA). DFA achieves better processing speed during regular expression matching. DFA requires more memory space for each state. In order to reduce memory utilization, decompression technique is used. Delayed Dictionary Compression (DDC) is applied for achieving better speeds in the communication links. DDC achieves decoding latency during compression of payload packets in the network. Experimental results show that the proposed approach provides better time consumption and memory utilization during detection of Internet worm attacks.

Hybrid Finite Automata-Based Algorithm for Large Scale Regular Expression Matching

2012 ◽  
Vol 263-266 ◽  
pp. 3108-3113
Author(s):  
Wei He ◽  
Yun Fei Guo ◽  
Hong Chao Hu
Keyword(s):  
Large Scale ◽  
Regular Expression ◽  
Finite Automata ◽  
System Throughput ◽  
Hybrid Automata ◽  
Deterministic Finite Automaton ◽  
State Explosion ◽  
Regular Expression Matching ◽  
High System ◽  
Memory Utilization

Fast data transmission put forward high requirements on network content matching (NCM). Due to the high time complexity, Nondeterministic Finite Automata (NFA) was unable to meet the demand of regular expression matching (REM) which was the core of NCM; Transfer NFA to Deterministic Finite Automaton (DFA) could enhance the throughput, but led to state explosion, which increased demand for memory. To balance memory and throughput, state explosion in the transformation from NFA to DFA has been analyzed and a new method DC-DFA is presented for large scale REM. DC-DFA is based on hybrid automata structure which composed of NFA and DFA. DC-DFA introduces GradeOne classification to cut the memory usage and deep classification to improve throughput. The results show that for serious state explosion, DC-DFA could reduce 75% DFA states and improve memory utilization efficiently while maintain high system throughput.

PROVABLY SHORTER REGULAR EXPRESSIONS FROM FINITE AUTOMATA

2013 ◽  
Vol 24 (08) ◽  
pp. 1255-1279 ◽  
Author(s):  
HERMANN GRUBER ◽  
MARKUS HOLZER
Keyword(s):  
Graph Theory ◽  
Finite Automaton ◽  
Regular Expression ◽  
Finite Automata ◽  
Upper Bounds ◽  
Extremal Graph ◽  
Extremal Graph Theory ◽  
Regular Expressions ◽  
Deterministic Finite Automaton

Based on recent results from extremal graph theory, we prove that every n-state binary deterministic finite automaton can be converted into an equivalent regular expression of size O(1.742n) using state elimination. Furthermore, we give improved upper bounds on the language operations intersection and interleaving on regular expressions.

Model reformulation for conflict-free routing problems using Petri Net and Deterministic Finite Automaton

2015 ◽  
Vol 20 (3) ◽  
pp. 262-269 ◽  
Author(s):  
Ryosuke Nakamura ◽  
Kenji Sawada ◽  
Seiichi Shin ◽  
Kenji Kumagai ◽  
Hisato Yoneda
Keyword(s):  
Petri Net ◽  
Finite Automaton ◽  
Deterministic Finite Automaton ◽  
Routing Problems ◽  
Model Reformulation

Design of A New Type of Regular Expression Matching Engine Based on FPGA

2021 ◽  
Author(s):  
Nan Jiang ◽  
Ping Lin ◽  
Yulong He ◽  
Zhuozhi Tan ◽  
Jin Hu
Keyword(s):  
Regular Expression ◽  
Regular Expression Matching ◽  
New Type
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