I-MPaFS: enhancing EDoS attack detection in cloud computing through a data-driven approach

I-MPaFS: enhancing EDoS attack detection in cloud computing through a data-driven approach

Abstract Cloud computing offers cost-effective IT solutions but is susceptible to security threats, particularly the Economic Denial of Sustainability (EDoS) attack. EDoS exploits cloud elasticity and the pay-per-use billing model, forcing users to incur unnecessary costs. This research introduces t...

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Bibliographic Details
Main Authors: Md. Sharafat Hossain, Md. Alamgir Hossain, Md. Saiful Islam
Format: Article
Language:English
Published: SpringerOpen 2024-10-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Economic denial of sustainability (EDoS)
Machine learning in cloud security
Financial impact of cyberattacks
EDoS detection framework
Cloud security
Cloud service economic safety
Online Access:https://doi.org/10.1186/s13677-024-00699-5
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