Citation

Deylami, Hanif Mohaddes (2012) Cybercrime Detection And Prevention Model By Using SVM. Masters thesis, Multimedia University.

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Abstract

This project aims to propose a cybercrime detection and prevention model by using support vector machine to reduce the damage due to running of malicious code. A cybercrime detection and prevention model uses support vector machines to create a new prevention model,which can run in Weka software to analyze and classify malicious data. The performance of this model will be evaluated by a social network dataset,which includes benign executable and viruses.

Item Type:	Thesis (Masters)
Subjects:	H Social Sciences > HV Social pathology. Social and public welfare. Criminology H Social Sciences > HV Social pathology. Social and public welfare. Criminology > HV6001-7220.5 Criminology > HV6035-6197 Criminal anthropology Including criminal types, criminal psychology, prison psychology, causes of crime
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Users 1102 not found.
Date Deposited:	03 Dec 2012 01:34
Last Modified:	03 Dec 2012 01:34
URII:	http://shdl.mmu.edu.my/id/eprint/3654

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