DocumentCode :
3014596
Title :
BSnort IPS Better Snort Intrusion Detection / Prevention System
Author :
Padmashani, R. ; Sathyadevan, Shiju ; Dath, D.
Author_Institution :
Dept. of CSE, Amrita Vishwa Vidyapeetham, Kollam, India
fYear :
2012
fDate :
27-29 Nov. 2012
Firstpage :
46
Lastpage :
51
Abstract :
With the advent of a range of intrusion detection and prevention systems out in the market and Snort IPS standing out from others, always there have been efforts to improve upon the current scenario. Here, a novel technique that can curb many of the current Denial-of-Service attacks which usually disrupts the network connectivity by consuming a large amount of bandwidth is discussed. The Better Snort Intrusion Detection/Prevention System (BSnort) uses Aho-Corasick automaton for the deep packet inspection and makes use of the modified Snort signatures which utilizes minimum amount of CPU and memory. The BSnort stands out from other Network Intrusion Detection Systems (NIDSs) in its integrated use of anomaly detection approach to find out novel attacks using the packet header along with the use of known attack signatures for the payload to pin-point intrusions.
Keywords :
computer network security; Aho-Corasick automaton; BSnort IPS; Denial-of-Service attacks; NIDS; anomaly detection approach; better snort intrusion detection-prevention system; modified Snort signatures; network connectivity; network intrusion detection systems; packet header; packet inspection; pin-point intrusions; Conferences; Decision support systems; Intelligent systems; BSnort; Boyer-Moore; Hping; Signatures; Snort;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on
Conference_Location :
Kochi
ISSN :
2164-7143
Print_ISBN :
978-1-4673-5117-1
Type :
conf
DOI :
10.1109/ISDA.2012.6416511
Filename :
6416511
Link To Document :
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