BOOK-CHAPTER

Optimized Feature Selection for Network Anomaly Detection

Aniss ChohraParia ShiraniElMouatez Billah KarbabMourad Debbabi

Year: 2023 World Scientific series in digital forensics and cybersecurity Pages: 51-98   Publisher: World Scientific
Keywords:
Feature selection Anomaly detection Anomaly (physics) Computer science Selection (genetic algorithm) Feature (linguistics) Data mining Artificial intelligence Pattern recognition (psychology) Physics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.20
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Network Packet Processing and Optimization
Physical Sciences →  Computer Science →  Hardware and Architecture

Related Documents

JOURNAL ARTICLE

Entropy-Based Feature Selection for Network Anomaly Detection

Ruth AlabiKamil Yurtkan

Journal:   2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) Year: 2018 Vol: 40 Pages: 1-7
JOURNAL ARTICLE

Multi Feature Selection based Network Traffic Anomaly Detection Method

Rui WangJiafu FangZhiye YangHaiwei Li

Journal:   Journal of Physics Conference Series Year: 2019 Vol: 1288 (1)Pages: 012003-012003
© 2026 ScienceGate Book Chapters — All rights reserved.