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  • 标题:Systematic Digital Forensic Investigation Model
  • 本地全文:下载
  • 作者:Mr. Ankit Agarwal ; Associate Professor Saurabh Gupta ; Professor Subhash Chand
  • 期刊名称:International Journal of Computer Science and Security (IJCSS)
  • 电子版ISSN:1985-1553
  • 出版年度:2011
  • 卷号:5
  • 期号:1
  • 页码:118-131
  • 出版社:Computer Science Journals
  • 摘要:Law practitioners are in a uninterrupted battle with criminals in the application of digital/computer technologies, and require the development of a proper methodology to systematically search digital devices for significant evidence. Computer fraud and digital crimes are growing day by day and unfortunately less than two percent of the reported cases result in confidence. This paper explores the development of the digital forensics process model, compares digital forensic methodologies, and finally proposes a systematic model of the digital forensic procedure. This model attempts to address some of the shortcomings of previous methodologies, and provides the following advantages: a consistent, standardized and systematic framework for digital forensic investigation process; a framework which work systematically in team according the captured evidence; a mechanism for applying the framework to according the country digital forensic investigation technologies; a generalized methodology that judicial members can use to relate technology to non-technical observers. This paper present a brief overview of previous forensic models and propose a new model inspired from the DRFWS Digital Investigation Model, and finally compares it with other previous model to show relevant of this model. The proposed model in this paper explores the different processes involved in the investigation of cyber crime and cyber fraud in the form of an eleven-stage model. The Systematic digital forensic investigation model (SDFIM) has been developed with the aim of helping forensic practitioners and organizations for setting up appropriate policies and procedures in a systematic manner.
  • 关键词:Forensic Investigation; Digital Crime; Search & Seizure
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