云取证调查中数据来源的挑战

Victoria M. Katilu, V. N. Franqueira, Olga Angelopoulou
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引用次数: 11

摘要

云计算由于其效率、健壮性和成本效益而越来越受欢迎。在云端进行数字取证调查目前是一个相关且开放的问题。这个问题的根源在于服务器无法被物理访问,再加上云计算在数据处理和存储方面的动态和分布式特性。这使得传统的证据收集方法变得不切实际。在云取证中使用来源数据至关重要,因为它为取证调查人员提供了涉及产生相关数据对象的人员、实体和活动的数据历史。因此,云取证需要有效的来源收集机制。本文概述了云计算中当前的来源挑战,并确定了当前来源收集机制的局限性。还提出了对云取证的数字来源进行进一步研究的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges of Data Provenance for Cloud Forensic Investigations
Cloud computing has gained popularity due to its efficiency, robustness and cost effectiveness. Carrying out digital forensic investigations in the cloud is currently a relevant and open issue. The root of this issue is the fact that servers cannot be physically accessed, coupled with the dynamic and distributed nature of cloud computing with regards to data processing and storage. This renders traditional methods of evidence collection impractical. The use of provenance data in cloud forensics is critical as it provides forensic investigators with data history in terms of people, entities and activities involved in producing related data objects. Therefore, cloud forensics requires effective provenance collection mechanisms. This paper provides an overview of current provenance challenges in cloud computing and identifies limitations of current provenance collection mechanisms. Recommendations for additional research in digital provenance for cloud forensics are also presented.
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