Cybercrime Detection And Prevention Model By Using SVM

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...

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Bibliographic Details
Main Author:	Deylami, Hanif Mohaddes
Format:	Thesis
Published:	2012
Subjects:	HV Social pathology Social and public welfare Criminology HV Social pathology. Social and public welfare. Criminology
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id	my-mmu-ep.3654
record_format	uketd_dc
spelling	my-mmu-ep.36542012-12-03T01:34:53Z Cybercrime Detection And Prevention Model By Using SVM 2012-01 Deylami, Hanif Mohaddes HV Social pathology. Social and public welfare. Criminology HV6035-6197 Criminal anthropology Including criminal types, criminal psychology, prison psychology, causes of crime 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. 2012-01 Thesis http://shdl.mmu.edu.my/3654/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php masters Multimedia University Faculty of Information Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	HV Social pathology Social and public welfare Criminology HV Social pathology. Social and public welfare. Criminology
spellingShingle	HV Social pathology Social and public welfare Criminology HV Social pathology. Social and public welfare. Criminology Deylami, Hanif Mohaddes Cybercrime Detection And Prevention Model By Using SVM
description	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.
format	Thesis
qualification_level	Master's degree
author	Deylami, Hanif Mohaddes
author_facet	Deylami, Hanif Mohaddes
author_sort	Deylami, Hanif Mohaddes
title	Cybercrime Detection And Prevention Model By Using SVM
title_short	Cybercrime Detection And Prevention Model By Using SVM
title_full	Cybercrime Detection And Prevention Model By Using SVM
title_fullStr	Cybercrime Detection And Prevention Model By Using SVM
title_full_unstemmed	Cybercrime Detection And Prevention Model By Using SVM
title_sort	cybercrime detection and prevention model by using svm
granting_institution	Multimedia University
granting_department	Faculty of Information Technology
publishDate	2012
_version_	1747829536198754304

Cybercrime Detection And Prevention Model By Using SVM

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