Jednotky: Effective dimensionality reduction of payload-based anomaly detection in TMAD model for HTTP payload

Effective dimensionality reduction of payload-based anomaly detection in TMAD model for HTTP payload

Intrusion Detection System (IDS) in general considers a big amount of data that are highly redundant and irrelevant. This trait causes slow instruction, assessment procedures, high resource consumption and poor detection rate. Due to their expensive computational requirements during both training an...

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Hlavní autoři:	Kakavand, Mohsen, Mustapha, Norwati, Mustapha, Aida, Abdullah @ Selimun, Mohd Taufik
Médium:	Článek
Jazyk:	English
Vydáno:	Korean Society for Internet Information 2016
Témata:	Principle component analysis; Intrusion detection system; Dimensionality reduction; Feature selection; Packet payload
On-line přístup:	http://psasir.upm.edu.my/id/eprint/54067/1/Effective%20dimensionality%20reduction%20of%20payload-based%20anomaly%20detection%20in%20TMAD%20model%20for%20HTTP%20payload.pdf
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http://psasir.upm.edu.my/id/eprint/54067/1/Effective%20dimensionality%20reduction%20of%20payload-based%20anomaly%20detection%20in%20TMAD%20model%20for%20HTTP%20payload.pdf

Effective dimensionality reduction of payload-based anomaly detection in TMAD model for HTTP payload

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