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A Framework for Digital Forensics and Investigations: The Goal-Driven Approach

机译:数字取证和调查框架:目标驱动方法

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摘要

Digital forensics investigations are an important task for collecting evidence based on the artifacts left in computer systems for computer related crimes. The requirements of such investigations are often a neglected aspect in most of the existing models of digital investigations. Therefore, a formal and systematic approach is needed to provide a framework for modeling and reasoning about the requirements of digital investigations. In addition, anti-forensics situations make the forensic investigation process challenging by contaminating any stage of the investigation process, its requirements, or by destroying the evidence. Therefore, successful forensic investigations require understanding the possible anti-forensic issues during the investigation. In this paper, the authors present a new method for guiding digital forensics investigations considering the anti-forensics based on goal-driven requirements engineering methodologies, in particular KAOS. Methodologies like KAOSfacilitate modeling and reasoning about goals, requirements and obstacles, as well as their opera-tionalization and responsibility assignments. The authors believe that this new method will lead in the future to better management and organization of the various steps of forensics investigations in cyberspace as well as provide more robust grounds for reasoning about forensic evidence.
机译:数字取证调查是一项重要任务,它基于计算机系统中因计算机相关犯罪留下的伪影,收集证据。在大多数现有的数字调查模型中,此类调查的要求通常被忽略。因此,需要一种正式和系统的方法来提供一个框架,以对数字调查的需求进行建模和推理。此外,反法医情况通过污染调查过程的任何阶段,其要求或破坏证据,使法医调查过程具有挑战性。因此,成功的法医调查需要了解调查期间可能存在的反法医问题。在本文中,作者提出了一种基于目标驱动的需求工程方法(特别是KAOS),考虑反法医学的指导数字法医学研究的新方法。诸如KAOS之类的方法有助于对目标,要求和障碍以及它们的操作性和职责分配进行建模和推理。作者认为,这种新方法将在未来导致更好地管理和组织网络空间中法医调查的各个步骤,并为推理法医证据提供更可靠的依据。

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