Knowledge-based anomaly detection: Survey, challenges, and future directions-Reference-Cited by-同舟云学术

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Knowledge-based anomaly detection: Survey, challenges, and future directions

Published:2024-10 Issue: Volume:136 Page:108996
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Khan Abdul Qadir^ORCID,El Jaouhari Saad^ORCID,Tamani Nouredine^ORCID,Mroueh Lina^ORCID

Publisher

Elsevier BV

Reference176 articles.

1. Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review;Abdullahi;Electronics,2022

2. Knowledge-based systems survey;Ahmed;Int. J. Acad. Eng. Res. (IJAER),2019

3. Oddball: Spotting anomalies in weighted graphs;Akoglu,2010

4. Detection of IoT-botnet attacks using fuzzy rule interpolation;Al-Kasassbeh;J. Intell. Fuzzy Systems,2020

5. Leveraging machine learning for real-time anomaly detection and self-repair in IoT devices;Ali,2023

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