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Quantum-Resistant Security Mechanisms in Cloud-Native Microservices Pipelines
Authors
Yogeswara Reddy Avuthu
Abstract
The advent of quantum computing poses a signif- icant threat to traditional cryptographic systems, particularly in cloud-native microservices architectures that rely on classical encryption techniques such as RSA and Elliptic Curve Cryp- tography (ECC). As quantum algorithms, like Shor’s algorithm, can efficiently break these widely-used cryptographic schemes, there is an urgent need to adopt quantum-resistant cryptographic mechanisms to safeguard data and communication in microser- vices pipelines.
This paper provides a comprehensive analysis of various quantum-resistant algorithms, including Lattice-Based Cryptog- raphy, Hash-Based Signatures, and Code-Based Cryptography, and evaluates their applicability to cloud-native microservices environments. We further discuss the integration of these cryp- tographic mechanisms into DevSecOps pipelines, leveraging con- tinuous integration and continuous delivery (CI/CD) tools like Jenkins in cloud environments such as AWS and Kubernetes.
Through empirical evaluations, this study examines the per- formance overhead introduced by these quantum-resistant al- gorithms in terms of latency, throughput, and computational complexity. The findings indicate that while there is a measurable impact on system performance, the security benefits significantly outweigh the drawbacks, especially in light of the looming quantum threat. This paper aims to provide cloud architects and security professionals with a roadmap for implementing quantum-resistant security mechanisms in modern microservices pipelines.
Keywords
Quantum-resistant cryptography, Cloud-native, Microservices, DevSecOps, Lattice-Based Cryptography, Post- quantum cryptography, CI/CD, Jenkins, AWS, Kubernetes, Per- formance evaluation, Shor’s algorithm, Quantum computing threats.
Citation
Quantum-Resistant Security Mechanisms in Cloud-Native Microservices Pipelines. Yogeswara Reddy Avuthu. 2019. IJIRCT, Volume 5, Issue 5. Pages 1-13. https://www.ijirct.org/viewPaper.php?paperId=2411035