Northampton Electronic Collection of Theses and Research

Crime data mining, threat analysis and prediction

Farsi, M., Daneshkhah, A., Hosseinian-Far, A., Chatrabgoun, O. and Montasari, R. (2018) Crime data mining, threat analysis and prediction. In: Jahankhani, H. (ed.) Cyber Criminology. Springer. (Accepted)

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[thumbnail of Crime-bookchapter.pdf]
Crime-bookchapter.pdf - Accepted Version
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Abstract:
Cybercriminology as a subject area has numerous dimensions. Some studies in the field primarily focus on a corrective action to reduce the impact of an already committed crime. However, there are existing computational techniques which can assist in predicting and therefore preventing cyber-crimes. These quantitative techniques are capable of providing valuable holistic and strategic insights for law enforcement units and police forces to prevent the crimes from happening. Moreover, these techniques can be used to analyse crime patterns to provide a better understanding of the world of cyber-criminals. The main beneficiaries of such research works, are not only the law enforcement units, as in the era of Internetconnectivity, many business would also benefit from cyber-attacks and crimes being committed in the cyber environment. This chapter provides an all-embracing overview of machine learning techniques for crime analysis followed by a detailed critical discussion of data mining and predictive analysis techniques within the context of cybercriminology.
Subjects:
Q Science > QA Mathematics > QA75 Electronic computers. Computer science > QA76.9.A25 Computer security
Creators:
Farsi, M., Daneshkhah, A., Hosseinian-Far, A., Chatrabgoun, O. and Montasari, R.
Editors:
Jahankhani, H.
Publisher:
Springer
Faculties, Divisions and Institutes:
University Faculties, Divisions and Research Centres - OLD > Faculty of Business & Law > Business
University Faculties, Divisions and Research Centres - OLD > Faculty of Business & Law > Law
Faculties > Faculty of Business & Law > Law
Faculties > Faculty of Business & Law > International Strategy & Business
Date:
12 June 2018
Date Type:
Acceptance
Title of Book:
Cyber Criminology
Language:
English
Status:
Accepted
Refereed:
Yes
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