Pearson correlation and hyperparameter optimization for intrusion detection system / Fuad Mat Isa
Internet has become vulnerable place due to the rapid advancement of technology. The need of security approaches that will protect this sensitive information has never been more crucial. Intrusion detection system (IDS) is playing a pivotal role to provide an extra layer of security in the network....
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2023
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| Online Access: | https://ir.uitm.edu.my/id/eprint/89087/1/89087.pdf |
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my-uitm-ir.890872024-01-17T04:23:35Z Pearson correlation and hyperparameter optimization for intrusion detection system / Fuad Mat Isa 2023 Mat Isa, Fuad Internet has become vulnerable place due to the rapid advancement of technology. The need of security approaches that will protect this sensitive information has never been more crucial. Intrusion detection system (IDS) is playing a pivotal role to provide an extra layer of security in the network. In order to effectively detecting network intrusion, one requires to gathering a large volume of data. This high dimension data needs to be synthesized and filter from redundant and irrelevant features to improve the performance of IDS. However, the existing technique unable to performed well in terms of accuracy, detection rate and false positive rate. 2023 Thesis https://ir.uitm.edu.my/id/eprint/89087/ https://ir.uitm.edu.my/id/eprint/89087/1/89087.pdf text en public masters Universiti Teknologi MARA (UiTM) College of Computing, Informatic and Media Darus, Mohamad Yusof (Assoc. Prof. Dr.) |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Darus, Mohamad Yusof (Assoc. Prof. Dr.) |
| description |
Internet has become vulnerable place due to the rapid advancement of technology. The need of security approaches that will protect this sensitive information has never been more crucial. Intrusion detection system (IDS) is playing a pivotal role to provide an extra layer of security in the network. In order to effectively detecting network intrusion, one requires to gathering a large volume of data. This high dimension data needs to be synthesized and filter from redundant and irrelevant features to improve the performance of IDS. However, the existing technique unable to performed well in terms of accuracy, detection rate and false positive rate. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Mat Isa, Fuad |
| spellingShingle |
Mat Isa, Fuad Pearson correlation and hyperparameter optimization for intrusion detection system / Fuad Mat Isa |
| author_facet |
Mat Isa, Fuad |
| author_sort |
Mat Isa, Fuad |
| title |
Pearson correlation and hyperparameter optimization for intrusion detection system / Fuad Mat Isa |
| title_short |
Pearson correlation and hyperparameter optimization for intrusion detection system / Fuad Mat Isa |
| title_full |
Pearson correlation and hyperparameter optimization for intrusion detection system / Fuad Mat Isa |
| title_fullStr |
Pearson correlation and hyperparameter optimization for intrusion detection system / Fuad Mat Isa |
| title_full_unstemmed |
Pearson correlation and hyperparameter optimization for intrusion detection system / Fuad Mat Isa |
| title_sort |
pearson correlation and hyperparameter optimization for intrusion detection system / fuad mat isa |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
College of Computing, Informatic and Media |
| publishDate |
2023 |
| url |
https://ir.uitm.edu.my/id/eprint/89087/1/89087.pdf |
| _version_ |
1794192198038716416 |