A hybrid alarm management strategy in signature-based intrusion detection systems

Francisco Javier Muñoz Cortés, Natalia Gaviria Gómez
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引用次数: 4

Abstract

Signature-based Intrusion Detection Systems (IDS) are a key component in the cybersecurity defense strategy for any network being monitored. In order to improve the efficiency of the intrusion detection system and the corresponding mitigation action, it is important to address the problem of false alarms. In this paper, we present a comparative analysis of two approaches that consider the false alarm minimization and alarm correlation techniques. The output of this analysis provides us the elements to propose a parallelizable strategy designed to achieve better results in terms of precision, recall and alarm load reduction in the prioritization of alarms. We use Prelude SIEM as the event normalizer in order to process security events from heterogeneous sensors and to correlate them. The alarms are verified using the dynamic network context information collected from the vulnerability analysis, and they are prioritized using the HP Arsight priority formula. The results show an important reduction in the volume of alerts, together with a high precision in the identification of false alarms.
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基于签名的入侵检测系统中的混合报警管理策略
基于签名的入侵检测系统(IDS)是任何被监控网络的网络安全防御策略的关键组成部分。为了提高入侵检测系统的效率和相应的缓解措施,解决假警报问题是非常重要的。本文对考虑虚警最小化和报警相关技术的两种方法进行了比较分析。该分析的输出为我们提供了提出并行化策略的要素,该策略旨在在警报优先级的精度,召回率和警报负载减少方面取得更好的结果。我们使用Prelude SIEM作为事件规范化器,以便处理来自异构传感器的安全事件并将它们关联起来。根据漏洞分析中收集的动态网络环境信息对告警进行验证,并根据HP Arsight优先级公式对告警进行优先级排序。结果表明,该方法大大减少了警报量,并且在识别假警报方面具有很高的精度。
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