In the era of rapid development of quantum computers and post-quantum algorithms, basic cryptographic algorithms like RSA (Rivest-Shamir-Adleman) become vulnerable, especially under the influence of possible factorization by Shor's algorithm. This research work analyzes safety challenges and possible hazards caused by quantum attacks on the RSA, while also presenting ML-KEM (Module-Lattice-Based Key-Encapsulation Mechanism) as a convenient, standardized post-quantum algorithm that secures the safe exchange of keys. Besides the fundamental theoretical basis, the research work presents a clear demonstration of the technical implementation of the ML-KEM algorithm, including its architecture and principles of operation. Also, this research work compares the performances of ML-KEM and RSA algorithms using modern processor architecture, pointing out their superiority in the aspects of speed and energy efficiency. Furthermore, possible challenges caused by the migration of existing systems are presented.
In the era of rapid development of quantum computers and post-quantum algorithms, basic cryptographic algorithms like RSA (Rivest-Shamir-Adleman) become vulnerable, especially under the influence of possible factorization by Shor's algorithm. This research work analyzes safety challenges and possible hazards caused by quantum attacks on the RSA, while also presenting ML-KEM (Module-Lattice-Based Key-Encapsulation Mechanism) as a convenient, standardized post-quantum algorithm that secures the safe exchange of keys. Besides the fundamental theoretical basis, the research work presents a clear demonstration of the technical implementation of the ML-KEM algorithm, including its architecture and principles of operation. Also, this research work compares the performances of ML-KEM and RSA algorithms using modern processor architecture, pointing out their superiority in the aspects of speed and energy efficiency. Furthermore, possible challenges caused by the migration of existing systems are presented.
The emergence of quantum computing poses an existential threat to classical cryptographic systems that form the backbone of contemporary digital security infrastructure. RSA, the most widely deployed public-key cryptosystem, relies on the computational hardness of integer factorization, a problem efficiently solvable by quantum computers using Shor's algorithm. This impending vulnerability has catalyzed the development of post-quantum cryptographic alternatives designed to withstand both classical and quantum attacks. CRYSTALS-Kyber, standardized by NIST as ML-KEM, represents the forefront of latticebased key encapsulation mechanisms, offering quantum resistance through the Module Learning With Errors (MLWE) problem. This paper presents a comprehensive comparative analysis of RSA and Kyber, examining their mathematical foundations, security architectures, operational characteristics, and performance metrics across diverse computational environments. The study investigates the fundamental trade-offs between legacy systems optimized for classical threat models and emerging quantum-resistant algorithms designed for future-proof security. Through detailed analysis of key generation, encryption/encapsulation, decryption/decapsulation operations, and security guarantees, this research establishes the technical rationale behind NIST's selection of Kyber as the primary post-quantum key establishment mechanism. The findings demonstrate that while RSA maintains advantages in key size efficiency, Kyber's superior performance profile, quantum resilience, and robust security foundation position it as the essential successor for securing digital communications in the quantum era. This comprehensive study provides critical insights for organizations transitioning from classical to post-quantum cryptographic infrastructure
Key exchange mechanisms are foundational to secure communication, yet traditional methods face challenges from quantum computing. The Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM) is a post-quantum cryptographic key exchange protocol with unknown successful quantum vulnerabilities. This study evaluates the ML-KEM using experimental benchmarks. We implement the ML-KEM in Python for clarity and in C++ for performance, demonstrating the latter’s substantial performance improvements. The C++ implementation achieves microsecond-level execution times for key generation, encapsulation, and decapsulation. Python, while slower, provides a user-friendly introduction to the ML-KEM’s operation. Moreover, our Python benchmark confirmed that the ML-KEM consistently outperformed RSA in execution speed across all tested parameters. Beyond benchmarking, the ML-KEM is shown to handle the computational hardness of the Module Learning With Errors (MLWE) problem, ensuring resilience against quantum attacks, classical attacks, and Artificial Intelligence (AI)-based attacks, since the ML-KEM has no pattern that could be detected. To evaluate its practical feasibility on constrained devices, we also tested the C++ implementation on a Raspberry Pi 4B, representing IoT use cases. Additionally, we attempted to run integration and benchmark tests for the ML-KEM on microcontrollers such as the ESP32 DevKit, ESP32 Super Mini, ESP8266, and Raspberry Pi Pico, but these trials were unsuccessful due to memory constraints. The results showed that while the ML-KEM can operate effectively in such environments, only devices with sufficient resources and runtimes can support its computational demands. While resource-intensive, the ML-KEM offers scalable security across diverse domains such as IoT, cloud environments, and financial systems, making it a key solution for future cryptographic standards.
This study reviews post-quantum cryptographic algorithms for secure communication, focusing on standardized lattice-based schemes and their practical deployment implications. Classical public-key systems such as RSA and elliptic curve cryptography remain central to secure communication, but their long-term security is threatened by quantum algorithms capable of solving factorization and discrete logarithm problems. The study adopts a hybrid approach combining literature-based review with dataset-driven performance analysis. The empirical evaluation compares ML-KEM and ML-DSA with RSA-4096 and ECDSA-P256 using CPU benchmarking and network simulation metrics. Results indicate that ML-KEM provides substantial computational advantages over RSA-4096, making it suitable for latency-sensitive key establishment. ML-DSA also demonstrates competitive performance, especially in verification, but introduces larger signature sizes than ECDSA-P256. The analysis shows that the main deployment challenge is not computational feasibility but increased communication overhead caused by larger keys, ciphertexts, and signatures. These findings suggest that post-quantum migration requires more than direct algorithm replacement. Effective deployment should involve protocol optimization, crypto-agility, hybrid transition strategies, and context-specific parameter selection. Although the dataset focuses mainly on lattice-based algorithms, the study confirms the practical relevance of standardized post-quantum schemes for future secure communication infrastructure and identifies directions for broader evaluation across additional PQC families, including code-based, hash-based, multivariate approaches, real-world networks, and implementation-level security testing in practice contexts.
The imminent threat posed by the advent of quantum computers to contemporary public-key cryptographic schemes, such as RSA and Elliptic Curve Cryptography (ECC), necessitates a fundamental shift in cryptographic paradigms. Shor's algorithm, specifically, presents a catastrophic vulnerability to these foundational security protocols, underpinning global digital communication and commerce. This paper provides a comprehensive exploration into lattice-based cryptography as a robust and promising candidate for a post-quantum cryptographic future. We delve into the mathematical underpinnings of lattices, elucidating the computational hardness of problems like the Shortest Vector Problem (SVP) and the Learning With Errors (LWE) problem, which form the bedrock of their security. The paper reviews the historical development of lattice-based schemes, their theoretical advantages, and their practical implications, particularly in the context of the ongoing NIST Post-Quantum Cryptography standardization process. We analyze the construction of key encapsulation mechanisms (KEMs) and digital signature schemes from lattice problems, comparing their performance characteristics and security guarantees against classical methods. The work argues that lattice-based cryptography offers a compelling alternative to RSA, providing not only quantum resistance but also presenting attractive features in terms of efficiency, design simplicity, and versatility for various cryptographic primitives. The discussion extends to implementation challenges, security analysis, and the broader implications for the global migration towards a quantum-secure cryptographic infrastructure.
The advent of quantum computing poses a significant existential threat to current public-key cryptographic standards, particularly RSA and Elliptic Curve Cryptography (ECC), which underpin global digital security. Shor's algorithm, if implemented on a sufficiently powerful quantum computer, can efficiently break these foundational schemes, rendering vast amounts of encrypted data vulnerable. This paper investigates lattice-based cryptography as a robust and promising candidate for post-quantum security. We provide a comprehensive analysis of its theoretical underpinnings, focusing on hard problems like the Shortest Vector Problem (SVP) and Learning With Errors (LWE), which are believed to be intractable even for quantum adversaries. Through a detailed literature review and methodological exposition, we examine the construction principles of prominent lattice-based Key Encapsulation Mechanisms (KEMs) and digital signature schemes, such as Kyber and Dilithium, highlighting their inherent security properties and performance characteristics. Our results demonstrate that lattice-based schemes offer competitive efficiency, compact key sizes, and strong security guarantees against both classical and quantum attacks, positioning them as essential building blocks for the post-RSA cryptographic landscape. The discussion elaborates on the practical implications, standardization efforts by NIST, and the challenges associated with the transition to quantum-resilient cryptographic infrastructure. We conclude that lattice-based cryptography is a cornerstone of quantum resilience, critical for securing future digital communications and data integrity.
Classical public-key cryptographic algorithms like the RSA algorithm and Diffie-Hellman are used to secure internet communications. However, the emergence of quantum computers poses a significant threat to these established algorithms, potentially leading to security breaches and malicious attacks. If quantum computers can break these algorithms, the entire security infrastructure of the internet could be compromised. Post- quantum cryptography (PQC) is a cryptographic area dedicated to developing new encryption and key exchange mechanisms that can resist quantum attacks. Its goal is to create quantum-resistant cryptographic algorithms, with NIST playing a central role in standardization and collaboration to ensure information security in the era of quantum computing. This study conducts a survey of Key Encapsulation Mechanism (KEM) algorithms within the field of Post-Quantum Cryptography (PQC), along with their alternative counterparts. It provides a comprehensive analysis of performance metrics, including key sizes, execution times, and runtime performance, specifically focusing on Key Encapsulation Mechanism (KEM) algorithms.