A Lightweight Tool for Anomaly Detection in Cloud Data Centres
Author:
Affiliation:
1. Queen's University of Belfast, United Kingdom
2. Queen’s University of Belfast, United Kingdom
Publisher
SCITEPRESS - Science and and Technology Publications
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Advancing anomaly detection in cloud environments with cutting‐edge generative AI for expert systems;Expert Systems;2024-08-26
2. HiSec: Towards Cyber Threat Correlation and Discovery Based on Hierarchical Graph Neural Networks;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01
3. Survey and Performance Analysis of Machine Learning Based Security Threats Detection Approaches in Cloud Computing;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2021-11-01
4. AutoMigrate: a framework for developing intelligent, self-managing cloud services with maximum availability;Cluster Computing;2017-05-29
5. Acceptance Test for Fault Detection in Component-based Cloud Computing and Systems;Future Generation Computer Systems;2017-05
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