大数据和数字取证

O. M. Adedayo
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引用次数: 14

摘要

数字取证的主要挑战之一是需要分析的数据量不断增加。随着大数据的出现,这个问题变得更加明显,人们呼吁重新思考过去几年处理数字取证调查的方式。本文简要讨论了数字取证在面对当前趋势和不同调查要求时所面临的挑战和需要。提出了一种综合考虑现有技术和当前挑战的数字取证分析框架。该框架的目的是重新评估数字取证审查过程的各个阶段,并在每个阶段引入所需的技术,以便在面对大数据和数字取证面临的其他挑战时更好地收集、分析、保存和呈现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data and digital forensics
One of the main challenges in digital forensics is the increasing volume of data that needs to be analyzed. This problem has become even more pronounced with the emergence of big data and calls for a rethink on the way digital forensics investigations have been handled over the past years. This paper briefly discusses the challenges and needs of digital forensics in the face of the current trends and requirements of different investigations. A digital forensics analysis framework that puts into consideration the existing techniques as well as the current challenges is proposed. The purpose of the framework is to reassess the various stages of the digital forensics examination process and introduce into each stage the required techniques to enhance better collection, analysis, preservation and presentation in the face of big data and other challenges facing digital forensics.
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