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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Main Authors: Kakavand, Mohsen, Mustapha, Norwati, Mustapha, Aida, Abdullah @ Selimun, Mohd Taufik
格式: Article
語言:English
出版: Korean Society for Internet Information 2016
主題:
在線閱讀: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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