1,2School of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Haryana, India. Email: Shilpa33bhatia@gmail.com, rcsahoo.set@mriu.edu.in
3School of Computer Applications, Manav Rachna International Institute of Research and Studies, Haryana, India. Email: Akdangi@gmail.com
Background: The onset of mass dependence on cloud-based services has rendered it as a prime target for Distributed Denial-of-Service (DDoS) attacks, especially for critical applications. The most common way of attack is to send across tons of malicious traffic which eventually makes the system unavailable for genuine use. A potential solution to mitigate this issue has been proposed in this paper.
Methodology: A novel framework which runs on dual engine of supervised machine learning and blockchain which takes care of the trust management to stand against the DDoS attacks against cloud environments. It works on the logic of recovery which is embedded in smart contracts that essentially allows for trust re-evaluation and enables the system to self-correct itself and continuously evolve. Experiments were conducted using simulated attack scenarios with both volumetric and application-layer characteristics. The blockchain layer is supported by underlying cryptographic mechanisms that ensure secure validation, authenticated participation, and tamper-resistant record keeping.
Results: The framework achieved a detection accuracy of 96.4%, a packet drop rate of 91.5%, reduced average latency to 140 ms, minimised system downtime to under 2%, and decreased CPU overhead by approximately 40% compared to conventional static approaches. Evaluation metrics such as precision (94.6%), recall (95.2%), and F1-score (94.9%) further validate the reliability of the model.
Conclusion: The use of blockchain in this model helps in making it a reliable system that is resilient and adaptable in environments that are hostile.
Keywords: Blockchain Security, Cryptography, Cloud Computing, DDoS Mitigation, Machine Learning Smart Contracts
How to cite this article: Bhatia S, Sahoo RC, Kumar A. A Blockchain-Based Framework for Distributed Denial-of-Service (DDoS) Mitigation in Cloud Environments: A Machine Learning and Trust-Driven Approach. Int J Drug Deliv Technol. 2026;16(12s): 583-593. DOI: 10.25258/ijddt.16.12s.71.
Source of support: Nil.
Conflict of interest: None