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Propose a Framework for Criminal Mining by Web Structure and Content Mining
Authors: Javad Hosseinkhani , Suriayati Chuprat , Hamed Taherdoost , Amin Shahraki Moghaddam
Number of views: 466
Anonymous and suitable information always are provided by criminal web data for Law enforcement
agencies. The digital data that are used in forensic analysis comprises of pieces of information which are
about the accused social networks. Nevertheless, evaluating these pieces of information is a challenging
means an operator has to extract the appropriate information from the text in the website manually, after
that it finds a connection between different pieces of information and classify them into a database
structure. Then, the set is ready to utilize different criminal network analysis tools for test. Therefore, this
manual procedure of arranging data for analysis is not efficient because it affected by many errors.
Moreover, the quality of achieving analyzed data is related to the expertise and experience of the
investigator so the reliability of the tests is not continuous. Actually, the better result is achived, the more
knowledgeable is an operator. The aim of this study is to report the process of exploring the criminal
suspects of forensic data analysis that support the reliability gap by offering a framework by utilizing Highlevel
architecture of a scalable universal crawler.