A Systematic Survey of Online Data Mining Technology Intended for Law Enforcement

ACM Computing Surveys(2015)

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摘要
As an increasing amount of crime takes on a digital aspect, law enforcement bodies must tackle an online environment generating huge volumes of data. With manual inspections becoming increasingly infeasible, law enforcement bodies are optimising online investigations through data-mining technologies. Such technologies must be well designed and rigorously grounded, yet no survey of the online data-mining literature exists which examines their techniques, applications and rigour. This article remedies this gap through a systematic mapping study describing online data-mining literature which visibly targets law enforcement applications, using evidence-based practices in survey making to produce a replicable analysis which can be methodologically examined for deficiencies.
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关键词
Documentation,Security,Measurement,Systematic survey,literature review,online data mining,OSINT,open-source intelligence,law enforcement,cybercrime
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