Impact of DDoS Attacks and Mitigation Strategies in Cloud Applications

This resource presents the research findings and literature review for the paper titled "Impact of DDoS Attacks and Mitigation Strategies in Cloud Applications" by Rabin Kumar Chhatkuli (2026). It examines the evolving landscape of Distributed Denial-of-Service (DDoS) attacks in cloud environments and evaluates traditional, AI-driven, and hybrid mitigation approaches. The study highlights CNN-LSTM-based detection, federated learning, and blockchain-assisted security, while discussing challenges related to detection accuracy, scalability, latency, and ethical AI governance. It aims to contribute to the development of adaptive, transparent, and resilient security frameworks for next-generation cloud applications. Citation: Rabin Kumar, C. (2026). Impact of DDoS Attacks and Mitigation Strategies in Cloud Applications. Zenodo. https://doi.org/10.5281/zenodo.23809197

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23809196
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of DDoS Attacks and Mitigation Strategies in Cloud Applications

Rabin Kumar Chhatkuli
1 links
Zenodo (CERN European Organization for Nuclear Research)
Network Security and Intrusion Detection
article

Impact of DDoS Attacks and Mitigation Strategies in Cloud Applications

Rabin Kumar Chhatkuli
article en

Abstract

This resource presents the research findings and literature review for the paper titled "Impact of DDoS Attacks and Mitigation Strategies in Cloud Applications" by Rabin Kumar Chhatkuli (2026). It examines the evolving landscape of Distributed Denial-of-Service (DDoS) attacks in cloud environments and evaluates traditional, AI-driven, and hybrid mitigation approaches. The study highlights CNN-LSTM-based detection, federated learning, and blockchain-assisted security, while discussing challenges related to detection accuracy, scalability, latency, and ethical AI governance. It aims to contribute to the development of adaptive, transparent, and resilient security frameworks for next-generation cloud applications. Citation: Rabin Kumar, C. (2026). Impact of DDoS Attacks and Mitigation Strategies in Cloud Applications. Zenodo. https://doi.org/10.5281/zenodo.23809197

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Network Security and Intrusion Detection
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