Clustering‐based real‐time anomaly detection—A breakthrough in big data technologies-Reference-Cited by-同舟云学术

Clustering‐based real‐time anomaly detection—A breakthrough in big data technologies

Published:2019-06-11 Issue: Volume: Page:e3647
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Ariyaluran Habeeb Riyaz Ahamed¹^ORCID,Nasaruddin Fariza¹,Gani Abdullah²,Amanullah Mohamed Ahzam³^ORCID,Abaker Targio Hashem Ibrahim⁴,Ahmed Ejaz⁵^ORCID,Imran Muhammad⁶^ORCID

Affiliation:

1. Department of Information System, Faculty of Computer Science and Information TechnologyUniversity of Malaya Kuala Lumpur Malaysia

2. Department of Computer System & TechnologyFaculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia

3. Research & Innovation DevelopmentTelekom Research & Development Sdn Bhd Cyberjaya Malaysia

4. School of Computing & Information TechnologyTaylor's University Subang Jaya Malaysia

5. Centre for Mobile Cloud Computing Research (C4MCCR)University of Malaya Malaysia

6. College of Applied Computer ScienceKing Saud University Riyadh Saudi Arabia

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.3647

Reference52 articles.

1. SolaimaniM IftekharM KhanL ThuraisinghamB IngramJB.Spark‐based anomaly detection over multi‐source VMware performance data in real‐time. Paper presented at: IEEE Symposium on Computational Intelligence in Cyber Security (CICS);2014;Orlando FL.

2. Real time intrusion detection system for ultra-high-speed big data environments

3. Online anomaly detection for multi‐source VMware using a distributed streaming framework

4. Security threats to critical infrastructure: the human factor;Ghafir I;J Supercomput,2018

5. Multiagent/multiobjective interaction game system for service provisioning in vehicular cloud

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