File:A comparative analysis of the Snort and Suricata intrusion-detection systems (IA acomparativenaly109455480).pdf
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Summary[edit]
A comparative analysis of the Snort and Suricata intrusion-detection systems
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| Author |
Albin, Eugene |
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| Title |
A comparative analysis of the Snort and Suricata intrusion-detection systems |
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| Publisher |
Monterey, California. Naval Postgraduate School |
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| Description |
Our research focuses on comparing the performance of two open-source intrusion-detection systems, Snort and Suricata, for detecting malicious activity on computer networks. Snort, the de-facto industry standard open-source solution, is a mature product that has been available for over a decade. Suricata, released two years ago, offers a new approach to signature-based intrusion detection and takes advantage of current technology such as process multithreading to improve processing speed. We ran each product on a multi-core computer and evaluated several hours of network traffic on the NPS backbone. We evaluated the speed, memory requirements, and accuracy of the detection engines in a variety of experiments. We conclude that Suricata will be able to handle larger volumes of traffic than Snort with similar accuracy, and thus recommend it for future needs at NPS since the Snort installation is approaching its bandwidth limits. Subjects: Intrusion detection systems (Computer security); Information technology |
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| Language | English | |
| Publication date | September 2011 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
acomparativenaly109455480 |
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| Source | ||
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted. | |
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 21:25, 13 July 2020 |  | 1,275 × 1,650, 69 pages (848 KB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection acomparativenaly109455480 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #5193) |
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