A Framework for Digital Forensics and Investigations

Author:

Aziz Benjamin1,Blackwell Clive2,Islam Shareeful3

Affiliation:

1. School of Computing, University of Portsmouth, Portsmouth, UK

2. Department of Computing and Communication Technologies, Oxford Brookes University, Oxford, UK

3. School of Architecture, Computing and Engineering, University of East London, London, UK

Abstract

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 KAOS facilitate modeling and reasoning about goals, requirements and obstacles, as well as their operationalization 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.

Publisher

IGI Global

Subject

Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Development of a Digital Forensic Framework for Ease of Forensic Analysis;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29

2. CustodyBlock: A Distributed Chain of Custody Evidence Framework;Information;2021-02-20

3. Using Fraud Trees to Analyze Internet Credit Card Fraud;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2014

4. A Framework for Digital Forensics and Investigations;International Journal of Digital Crime and Forensics;2013-04

5. Data Mining Analytics for Crime Security Investigation and Intrusion Detection;Advances in Data Mining and Database Management

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3