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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Bibliographic Details
Main Authors: Kakavand, Mohsen, Mustapha, Norwati, Mustapha, Aida, Abdullah @ Selimun, Mohd Taufik
Format: Article
Language:English
Published: Korean Society for Internet Information 2016
Subjects:
Principle component analysis; Intrusion detection system; Dimensionality reduction; Feature selection; Packet payload
Online Access:http://psasir.upm.edu.my/id/eprint/54067/
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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