Dynamical analysis of diversity in rule-based open source network intrusion detection systems
Dynamical analysis of diversity in rule-based open source network intrusion detection systems
复制标题
基于规则的开源网络入侵检测系统多样性的动态分析
DOI:
10.1007/s10664-021-10046-w
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发表时间:
2021
影响因子:
4.1
通讯作者:
Asad H
中科院分区:
文献类型:
--
作者:
Asad H
Diverse layers of defence play an important role in the design of defence-in-depth architectures. The use of Intrusion Detection Systems (IDSs) are ubiquitous in this design. But the selection of the “right” IDSs in various configurations is an important decision that the security architects need to make. Additionally, the ability of these IDSs to adapt to the evolving threat-landscape also needs to be investigated. To help with these decisions, we need rigorous quantitative analysis. In this paper, we present a diversity analysis of open-source IDSs, Snort and Suricata, to help security architects tune/deploy these IDSs. We analyse two types of diversities in these IDSs; configurational diversity and functional diversity. In the configurational diversity analysis, we investigate the diversity in the sets of rules and the Blacklisted IP Addresses (BIPAs) these IDSs use in their configurations. The functional diversity analysis investigates the differences in alerting behaviours of these IDSs when they analyse real network traffic, and how these differences evolve. The configurational diversity experiment utilises snapshots of the rules and BIPAs collected over a period of 5 months, from May to October 2017. The snapshots have been collected for three different off-the-shelf default configurations of the Snort IDS and the Emerging Threats (ET) configuration of the Suricata IDS. The functional diversity investigates the alerting behaviour of these two IDSs for a sample of the real network traffic collected in the same time window. Analysing the differences in these systems allows us to get insights into where the diversity in the behaviour of these systems comes from, how does it evolve and whether this has any effect on the alerting behaviour of these IDSs. This analysis gives insight to security architects on how they can combine and layer these systems in a defence-in-depth deployment.
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影响因子:
5.6
作者:
Qinwen Hu;Se;M. R. Asghar
通讯作者:
M. R. Asghar
DOI:
--
发表时间:
2013
期刊:
IEEE Region 10 Conference
影响因子:
--
作者:
Kittikhun Thongkanchorn;S. Ngamsuriyaroj;V. Visoottiviseth
通讯作者:
V. Visoottiviseth
影响因子:
8.7
作者:
K. Salah;A. Kahtani
通讯作者:
A. Kahtani
DOI:
10.1109/nca.2017.8171327
发表时间:
2017
期刊:
--
影响因子:
--
作者:
Algaith A
通讯作者:
Algaith A
DOI:
10.1002/spe.2180
发表时间:
2014
期刊:
Software: Practice and Experience
影响因子:
--
作者:
Miguel Garcia;A. Bessani;Ilir Gashi;Nuno Ferreira Neves;R. Obelheiro
通讯作者:
R. Obelheiro