Citation
Deylami, Hanif Mohaddes (2012) Cybercrime Detection And Prevention Model By Using SVM. Masters thesis, Multimedia University. Full text not available from this repository.
Official URL: http://vlib.mmu.edu.my/diglib/login/dlusr/login.ph...
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) |
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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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