DocumentCode :
2248721
Title :
Protecting Smart-Grid with Breno-Silva fast single pattern match algorithm for small patterns
Author :
Pinto, Breno Silva ; Fung, Chun Che
Author_Institution :
Open Inf. Security Found. (OISF), Brasilia, Brazil
Volume :
6
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
3219
Lastpage :
3224
Abstract :
Security of future Electrical power supply and the Smart-Grid will rely on the integrity of the communication network and in particular the Internet. Intrusion Prevention System (IPS) is crucial to guard against malicious and intentional attacks. Network packet search and string processing tasks in high-speed networks are critical for secure IPS performance. Slower algorithms could mean a portion of the packets could have been bypassed and slip through the protective border, which leads to security vulnerability. A novel pattern matching algorithm is proposed in this paper and the new algorithm has worst, best, and average time complexities of O(n + 2m), O(2m), and O(n + m) respectively - when applied for large alphabets - while searching a m bytes pattern on a text of n bytes. Experiments on 256-bytes alphabet |Σ| text files have been conducted to compare the performance of the new algorithm with other alternatives. In all tests, the proposed algorithm has demonstrated an improved performance of at least 50% better on the mentioned alphabet size.
Keywords :
Internet; pattern matching; power system protection; power system security; smart power grids; Breno-Silva fast single pattern match algorithm; Internet; electrical power supply; intrusion prevention system; network packet search; security vulnerability; smart-grid protection; string processing tasks; Pattern matching; Network Security; Pattern matching algorithms Intrusion Prevention systems; Smart Grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580716
Filename :
5580716
Link To Document :
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