面向安全事件分析的大数据架构

L. Fetjah, Karim Benzidane, Hassan El Alloussi, Othman El Warrak, Said Jai-Andaloussi, A. Sekkaki
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引用次数: 13

摘要

云计算确实带来了许多吸引人的优势,如可伸缩性、灵活性、可访问性、快速应用程序部署和用户自助服务。然而,事后看来,云计算使确保这些环境中的安全性变得非常具有挑战性。因此,传统的安全机制(如防火墙和防病毒软件)已被证明不足以处理云基础设施中生成的大量数据和事件。在此,我们提出了一个高度可扩展的基于模块的系统,该系统依赖于大数据技术和工具,提供了一个全面的解决方案来处理和分析相关事件(数据包流,日志文件),以便生成一个信息丰富的决策,并将相应地迅速处理。
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Toward a Big Data Architecture for Security Events Analytic
Cloud Computing did come up with so many attractive advantages such as scalability, flexibility, accessibility, rapid application deployment, and user self service. However in hindsight, Cloud Computing makes ensuring security within these environments so much challenging. Therefore traditional security mechanisms such as firewalls and antivirus softwares have proven insufficient and incapable of dealing with the sheer amount of data and events generated within a Cloud infrastructure. Herein, we present a highly scalable module based system that relies upon Big Data techniques and tools providing a comprehensive solution to process and analyze relevant events (packets flow, logs files) in order to generate an informative decisions that will be handled accordingly and swiftly.
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