Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets-Reference-Cited by-同舟云学术

Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets

Published:2021-03-08 Issue:4 Volume:32 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Hajj Suzan¹,El Sibai Rayane²^ORCID,Bou Abdo Jacques³,Demerjian Jacques⁴^ORCID,Makhoul Abdallah¹,Guyeux Christophe¹

Affiliation:

1. Femto‐ST Institute, UMR CNRS 6174 Université de Bourgogne Franche‐Comté Besançon France

2. Computer Science Department, Faculty of Sciences Al Maaref University Beirut Lebanon

3. College of Business and Technology University of Nebraska Kearney Kearney Nebraska USA

4. LaRRIS, Faculty of Sciences Lebanese University Fanar Lebanon

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4240

Reference168 articles.

1. TuckN SherwoodT CalderB VargheseG. Deterministic memory‐efficient string matching algorithms for intrusion detection. Paper presented at: Proceedings of the IEEE INFOCOM 2004 Hong Kong;2004:2628‐2639; IEEE.

2. Intrusion detection system: A comprehensive review

3. Survey on Anomaly Detection using Data Mining Techniques

4. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

5. A survey of network anomaly detection techniques

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