云计算取证模型

高元照; 李学娟; 李炳龙; 吴熙曦

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

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云计算取证模型

学术论文 | 更新时间：2024-06-03

- 云计算取证模型
- Cloud computing forensic model
- 网络与信息安全学报 2017年3卷第9期页码：13-23
- 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：
  
  [ "高元照（1992-），男，河北衡水人，信息工程大学博士生，主要研究方向为云计算取证。" ]
  [ "李学娟（1974-），女，河南卫辉人，河南理工大学工程师，主要研究方向为控制理论与控制工程。" ]
  [ "李炳龙（1974-），男，河南卫辉人，博士，信息工程大学副教授，主要研究方向为数字取证。" ]
  [ "吴熙曦（1990-），女，四川成都人，白城兵器试验中心助理工程师，主要研究方向为网络安全。" ]
- 基金信息：
  
  国家高技术研究发展计划（“863”计划）基金资助项目;The National High Technology Research and Development Program of China (863 Program)(2015AA01600);国家自然科学基金资助项目;The National Natural Science Foundation of China(60903220)
- DOI：10.11959/j.issn.2096-109x.2017.00194
  中图分类号： TP311
- 网络首发：2017-09，
  
  纸质出版：2017-09-15
- 稿件说明：
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高元照, 李学娟, 李炳龙, 等. 云计算取证模型[J]. 网络与信息安全学报, 2017,3(9):13-23.

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.
高元照, 李学娟, 李炳龙, 等. 云计算取证模型[J]. 网络与信息安全学报, 2017,3(9):13-23. DOI： 10.11959/j.issn.2096-109x.2017.00194.

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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