Cloud computing forensic model

Yuan-zhao GAO; Xue-juan LI; Bing-long LI; Xi-xi WU

doi:10.11959/j.issn.2096-109x.2017.00194

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Cloud computing forensic model

Papers | 更新时间：2024-06-03

- Cloud computing forensic model
- Chinese Journal of Network and Information Security Vol. 3, Issue 9, Pages: 13-23(2017)
- 作者机构：
  
  1. 信息工程大学，河南郑州 450001
  2. 数学工程与先进计算国家重点实验室，河南郑州 450001
  3. 河南理工大学审计处，河南焦作 454010
  4. 白城兵器试验中心，吉林白城 137000
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2017.00194
  CLC： TP311
- Online First：2017-09，
  
  Published：15 September 2017
- 稿件说明：
移动端阅览
Yuan-zhao GAO, Xue-juan LI, Bing-long LI, et al. Cloud computing forensic model[J]. Chinese Journal of Network and Information Security, 2017, 3(9): 13-23.
DOI：

Yuan-zhao GAO, Xue-juan LI, Bing-long LI, et al. Cloud computing forensic model[J]. Chinese Journal of Network and Information Security, 2017, 3(9): 13-23. DOI： 10.11959/j.issn.2096-109x.2017.00194.

摘要

针对云取证面临的主要挑战，分析云计算特性，提出了一种云取证模型。提出了持续性取证准备服务的部署、基于“迭代”的多轮次证据识别策略和分布式文件系统的多层级数据定位方法、基于“数据隔离”和“按需收集”策略的证据收集方法、基于云计算资源的综合性证据分析平台的建立。最后，结合云环境下的取证场景，分析了该模型的有效性。

Abstract

Aiming at the main challenges facing cloud forensics

cloud characteristics were analyzed and a cloud forensic model was proposed.In the model

the deployment of persistent forensic readiness service

multi-round identification strategy based on “iteration” and multi-level evidence location method for distributed file system

“data isolation” and “on-demand collection” strategies

and the establishment of comprehensive evidence analysis platform based on cloud resources were presented.Finally

the validity of the model was analyzed combining the forensic scene in the cloud environment.

关键词

Keywords

references

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