Improving NIDS Rules for Protocols with Detection of Abnormal Traffic in Real Time Traffic Using Snort

Authors(2) :-Ankita Choubey, Navi Singh Thakur

Network intrusion detection system (NIDS) has attracted much attention in recent years due to ever-increasing amount of network traffic and ever-complicated attacks. Numerous studies have been focusing on accelerating pattern matching for a high-speed design because some early studies observed that pattern matching is a performance bottleneck. However, the effectiveness of such acceleration has been challenged recently. This work therefore re-examines the performance bottleneck by profiling popular NIDSs, Snort, with various types of network traffic in detail. In the profiling, we find pattern matching can be dominant in the Snort execution if the entire packet payloads in the connections are scanned, while executing the snort rules is an obvious bottleneck in the snort execution. This work suggests three promising directions towards a high-speed NIDS design for future research: a method to precisely specify the possible locations of the signatures in long connections, a compiler to transform the policy scripts to efficient binary codes for execution, and an efficient design of connection tracking and packet reassembly.

Authors and Affiliations

Ankita Choubey
Shri Ram Institute of Science & Technology, Jabalpur, Madhya Pradesh, India
Navi Singh Thakur
Shri Ram Institute of Science & Technology, Jabalpur, Madhya Pradesh, India

NIDS, Snort,Network Traffic, Profile, Snort Rules.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2016
Date of Publication : 2016-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 145-148
Manuscript Number : IJSRSET162642
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Ankita Choubey, Navi Singh Thakur, " Improving NIDS Rules for Protocols with Detection of Abnormal Traffic in Real Time Traffic Using Snort, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 6, pp.145-148, November-December-2016.
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