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...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Korean Society for Internet Information
2016
|
| 主題: | |
| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/54067/1/Effective%20dimensionality%20reduction%20of%20payload-based%20anomaly%20detection%20in%20TMAD%20model%20for%20HTTP%20payload.pdf |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|