Research on Electronic Data Forensics Model under Cloud Computing

T. Min, Xiong Jianying, Yang Tao
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Abstract

With the continuous development of the cloud applications, some abuse behavior may occur in cloud computing environment, just like the increasing unauthorized operation of platform’s administrators and users. The environment has a certain of characteristics, such as complexity of system, heterogeneity of resource, diversity of security threat, and etc.. These characteristics will bring a new challenge to the electronic data forensics work in cloud computing environment. The research is to design a Data Refinement System which can be used in distributed cloud computing platform for judiciary; and a computer forensics model for mass data in cloud. A third-party forensic theoretical framework based on cloud computing is designed. The model can analyze and identify the user behavior from multiple levels, such as virtual layer, application layer, service layer, and etc.. The key technology is to support data associated evidence analysis and cases incident reconstruction in a dynamic, real-time cloud platform, and the ability to isolate evidence in the process of obtaining evidence.
云计算下的电子数据取证模型研究
随着云应用的不断发展,云计算环境中可能会出现一些滥用行为,例如平台管理员和用户的未经授权操作越来越多。环境具有一定的特点,如系统的复杂性、资源的异质性、安全威胁的多样性等。这些特点将给云计算环境下的电子数据取证工作带来新的挑战。本课题旨在设计一个适用于司法分布式云计算平台的数据细化系统;以及云中的海量数据的计算机取证模型。设计了基于云计算的第三方取证理论框架。该模型可以从虚拟层、应用层、服务层等多个层次对用户行为进行分析和识别。关键技术是在动态、实时的云平台上支持数据关联证据分析和案件事件重构,以及在取证过程中隔离证据的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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