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Criminal Profiling in Digital Forensics: Assumptions, Challenges and Probable Solution

机译:数字取证中的刑事分析:假设,挑战和可能的解决方案

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Cybercrime has been regarded understandably as a consequent compromise that follows the advent and perceived success of the computer and internet technologies. Equally effecting the privacy, trust, finance and welfare of the wealthy and low-income individuals and organizations, this menace has shown no indication of slowing down. Reports across the world have consistently shown exponential increase in the numbers and costs of cyber-incidents, and more worriedly low conviction rates of cybercriminals, over the years. Stakeholders increasingly explore ways to keep up with containing cyber-incidents by devising tools and techniques to increase the overall efficiency of investigations, but the gap keeps getting wider. However, criminal profiling - an investigative technique that has been proven to provide accurate and valuable directions to traditional crime investigations - has not seen a widespread application, including a formal methodology, to cybercrime investigations due to difficulties in its seamless transference. This paper, in a bid to address this problem, seeks to preliminarily identify the exact benefits criminal profiling has brought to successful traditional crime investigations and the benefits it can translate to cybercrime investigations, identify the challenges posed by the cyber-scene to its implementation in cybercrime investigations, and proffer a practicable solution.
机译:网络犯罪被认为是可理解的,随后的妥协遵循计算机和互联网技术的出现和感知成功。同样影响富裕和低收入个人和组织的隐私,信任,金融和福利,这种威胁表明没有表现出放慢速度的迹象。世界各地的报告一直表明了网络事件的数量和成本的指数增加,多年来更担心的网络犯罪分子率更低。利益相关者通过设计工具和技术来提高调查效率的工具和技术,越来越多地探索跟上含有网络事件的方法,但差距导致更宽。然而,刑事分析 - 已被证明为传统犯罪调查提供准确和有价值的方向的调查技术 - 尚未见过普遍存在的申请,包括正式方法,以网络犯罪调查导致无缝转移的困难。本文在出价解决这一问题的情况下,寻求初步确定刑事分析所带来成功的传统犯罪调查的确切福利,并将其转化为网络犯罪调查的福利,确定了网络场景所带来的挑战网络犯罪调查,并提供可行的解决方案。

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