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Embedding Hercule Poirot in Networks: Addressing Inefficiencies in Digital Forensic Investigations

机译:在网络中嵌入Hercule Poirot:解决数字法医调查的低效率

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Forensic investigations on networks are not scalable in terms of time and money [1]. Those investigations that do occur consume months of attention from the very experts who should be investing in more productive activities, like designing and improving network performance [1]. Given these circumstances, organizations often must select which cases to pursue, ignoring many that could be prosecuted, if time allowed. Recognizing the exponential growth in the number of crimes that employ computers and networks that become subject to digital evidence procedures, researchers and practitioners, alike, have called for embedding forensics-essentially integrating the cognitive skills of a detective into the network [2, 3, 4]. The premise is that the level of effort required to document incidents can thus be reduced, significantly. This paper introduces what technical factors might reflect those detecting skills, leading to solutions that could offset the inefficiencies of current practice.
机译:对网络的法医调查在时间和金钱方面不可扩展[1]。这些调查,这些调查发生了来自应该投资更生产活动的专家的几个月的注意力,如设计和改善网络性能[1]。鉴于这些情况,组织往往必须选择追求哪种情况,无视许多可能被起诉的情况,如果允许的话。认识到雇用计算机和网络的罪行数量的指数增长,研究人员和从业者,相似,都要求嵌入取消敏感 - 基本上将侦探的认知技能集成到网络中的认知技能[2,3, 4]。前提是,可以显着减少文件事件所需的努力程度。本文介绍了哪些技术因素可能反映了这些检测技能,从而导致可能抵消当前实践的低效率的解决方案。

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