System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems

System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems
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大数据系统的系统审计、数据分析和网络攻击特征

DOI:
10.1145/3511808.3557185
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发表时间:
2022
期刊:
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management
影响因子:
--
通讯作者:
Xiao, Xusheng
Xiao, Xusheng
中科院分区:
--
文献类型:
--
作者:
Huang, Liangyi;Hall, Sophia;Shao, Fei;Nihar, Arafath;Chaudhary, Vipin;Wu, Yinghui;French, Roger;Xiao, Xusheng

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使用大数据时,Apache Hadoop 等分布式计算系统需要处理大量数据来支持业务和研究应用程序。因此,确保此类系统的网络安全至关重要。为了更好地防御高级网络攻击,这些攻击甚至对保护良好的企业构成威胁,采用了基于系统审计的技术来监控系统活动并协助攻击调查。在这个演示中,我们正在构建一个系统,从大数据系统收集系统审计日志并进行数据分析,以了解如何更有效地利用系统审计来协助对大系统的攻击调查。我们还构建了一个演示应用程序,可以检测意外的文件删除并显示删除的根本原因。
Using big data, distributed computing systems such as Apache Hadoop requires processing massive amount of data to support business and research applications. Thus, it is critical to ensure the cyber security of such systems. To better defend from advanced cyber attacks that pose threats to even well-protected enterprises, system-auditing based techniques have been adopted for monitoring system activities and assisting attack investigation. In this demo, we are building a system that collects system auditing logs from a big data system and performs data analysis to understand how system auditing can be used more effectively to assist attack investigation on big systems. We also built a demo application that detects unexpected file deletion and presents root causes for the deletion.
通过远程监测时间序列电流电压和功率数据流确定三个气候区玻璃背板和双玻光伏组件的降解机制和部分遮蔽
DOI: --
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影响因子: 6.7
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