Comparative study between fuzzy C-Means algorithm and artificial immune network algorithm in intrusion detection system
Intrusion Detection Systems (IDS) is special software developed in order to protect the system against security threats and malware. IDS provides second line of defense after rule based firewall. Unfortunately IDS with supervised learning approach heavily rely on labeled training data and generally...
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Format: | Thesis |
Language: | English |
Published: |
2013
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Online Access: | http://eprints.utm.my/id/eprint/33102/5/AhmedAAAbunadaMFSKSM2013.pdf http://eprints.utm.my/id/eprint/33102/ |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |
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