三种入侵检测系统在不同攻击和规则集下的评估研究

Kittikhun Thongkanchorn, S. Ngamsuriyaroj, V. Visoottiviseth
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引用次数: 37

摘要

本文研究了三种流行的开源入侵检测系统Snort、Suricata和Bro的性能和检测精度。我们使用各种攻击类型评估所有系统,包括DoS攻击,DNS攻击,FTP攻击,扫描端口攻击和SNMP攻击。实验在不同的流量速率和不同的主动规则集下进行。使用的性能指标包括CPU利用率、丢失的数据包数量和警报数量。结果表明,每种攻击类型对IDS性能都有显著影响。但是,当在不同攻击类型和使用特定规则集的情况下进行评估时,Bro显示出比其他IDS系统更好的性能。结果还表明,当三个IDS工具激活完整规则集时,准确性会下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation studies of three intrusion detection systems under various attacks and rule sets
This paper investigates the performance and the detection accuracy of three popular open-source intrusion detection systems: Snort, Suricata and Bro. We evaluate all systems using various attack types including DoS attack, DNS attack, FTP attack, Scan port attack, and SNMP attack. The experiments were run under different traffic rates and different sets of active rules. The performance metrics used are the CPU utilization, the number of packets lost, and the number of alerts. The results illustrated that each attack type had significant effects on the IDS performance. But, Bro showed better performance than other IDS systems when evaluated under different attack types and using a specific set of rules. The results also indicated the drop of the accuracy when the three IDS tools activate the full rule set.
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