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arXiv 0909.2370cs.CR
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用于全局线程分析的综合安全框架

Comprehensive Security Framework for Global Threads Analysis

Jacques Saraydaryan, Fatiha Benali, Stephane Ubeda

摘要:

网络犯罪活动正在发生变化,变得越来越专业。随着通过互联网和信息系统(IS)的金融流的增长,出现了涉及在多个IS组件内传播的复杂场景的新类型的线程。信息建模和行为分析成为规范信息系统信息和应对这些新趋势的新的解决方案。本文提出了一个框架,详细说明了监测的IS的主要和必要的步骤。我们提出的框架的架构,即在一个IS模型的安全信息和用户行为分析进行的活动的本体。在真实数据上进行的实验结果表明,该模型可以有效地减少91%的事件数量。对统一建模数据的用户行为分析也很有效,可以检测到超过80%的攻击场景的合法行为。

英文摘要:

Cyber criminality activities are changing and becoming more and more professional. With the growth of financial flows through the Internet and the Information System (IS), new kinds of thread arise involving complex scenarios spread within multiple IS components. The IS information modeling and Behavioral Analysis are becoming new solutions to normalize the IS information and counter these new threads. This paper presents a framework which details the principal and necessary steps for monitoring an IS. We present the architecture of the framework, i.e. an ontology of activities carried out within an IS to model security information and User Behavioral analysis. The results of the performed experiments on real data show that the modeling is effective to reduce the amount of events by 91%. The User Behavioral Analysis on uniform modeled data is also effective, detecting more than 80% of legitimate actions of attack scenarios.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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