Propose a Framework for Criminal Mining by Web Structure and Content Mining

International Journal of Advanced Computer Science and Information Technology (IJACSIT), Vol. 1, No. 1, October 2012, Page: 1-13

13 Pages Posted: 30 Dec 2013

See all articles by Javad Hosseinkhani

Javad Hosseinkhani

Islamic Azad University (IAU)

Suriayati Chuprat

Universiti Teknologi MARA (UiTM)

Hamed Taherdoost

Hamta Group

Amin Moghaddam

Islamic Azad University (IAU)

Date Written: December 29, 2013

Abstract

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 achieved, 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 High-level architecture of a scalable universal crawler.

Keywords: Criminal Network, Crime Web Mining, Forensics Analysis, Social Network, Terrorist Network, Universal Crawler.

Suggested Citation

Hosseinkhani, Javad and Chuprat, Suriayati and Taherdoost, Hamed and Moghaddam, Amin, Propose a Framework for Criminal Mining by Web Structure and Content Mining (December 29, 2013). International Journal of Advanced Computer Science and Information Technology (IJACSIT), Vol. 1, No. 1, October 2012, Page: 1-13. Available at SSRN: https://ssrn.com/abstract=2372767

Javad Hosseinkhani (Contact Author)

Islamic Azad University (IAU) ( email )

Hamedan, Iran
Iran
Tehran, Isfahan 461-15655
Iran

Suriayati Chuprat

Universiti Teknologi MARA (UiTM) ( email )

Johor Bahru
Skudai
Shah Alam, Selangor 40450
Malaysia

Hamed Taherdoost

Hamta Group ( email )

Kuala Lumour
Malaysia

Amin Moghaddam

Islamic Azad University (IAU) ( email )

Hamedan, Iran
Iran
Tehran, Isfahan 461-15655
Iran

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