面向SIEMs的经济高效的云事件归档

Adriano Serckumecka, Ibéria Medeiros, Bernardo Ferreira
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引用次数: 4

摘要

组织已经采用了安全信息和事件管理(SIEM)系统来全面监控其IT基础设施中的恶意活动。siem从组织的IT基础设施的不同设备(例如,服务器、防火墙、IDS)接收事件,关联这些事件,并为安全分析师提供报告。考虑到siem收集的大量事件,长时间存储这些数据的成本很高。由于组织存储相对有限的事件时间框架,因此取证分析能力严重降低。这种担忧限制了组织存储有关过去网络安全相关活动的重要信息的能力,限制了取证分析。这个问题的一个可能的解决方案是利用公共云存储服务,利用它们的低成本和“无限”的可扩展性。我们为SLiCER提供了一个用于长期存储的归档系统,该系统利用基于多云的存储系统来保证数据安全,并通过将事件分组在块中并使用索引技术来恢复它们来确保成本效益。使用真实数据集对该系统进行了评估,结果表明该系统比竞争方案具有更高的成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Cost-Effective Cloud Event Archival for SIEMs
Security Information and Event Management (SIEM) systems have been adopted by organizations to enable holistic monitoring of malicious activities in their IT infrastructures. SIEMs receive events from diverse devices of the organization's IT infrastructure (e.g., servers, firewalls, IDS), correlate these events, and present reports for security analysts. Given the large number of events collected by SIEMs, it is costly to store such data for long periods. Since organizations store a relatively limited time-frame of events, the forensic analysis capabilities severely become reduced. This concern limits the organizations' ability to store important information about the past cybersecurity-related activity, limiting forensic analysis. A possible solution for this issue is to leverage public cloud storage services, exploiting their low cost and "infinite" scalability. We present SLiCER an archival system for long-term storage that makes use of a multi-cloud-based storage system to guarantee data security and ensures cost-effectiveness by grouping events in blocks and using indexing techniques to recover them. The system was evaluated using a real dataset and the results show that it is significantly more cost-efficient than competing alternatives.
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