This paper evaluates the performance impact of Post-Quantum Cryptography (PQC) integration into critical wireless communication protocols. With the rapid advances in quantum computing, conventional public-key cryptographic standards such as RSA and ECC face imminent vulnerability. To address this security challenge, we analyze lattice-based algorithms—specifically ML-KEM (formerly CRYSTALS-Kyber)—when deployed over constrained wireless protocol architectures. Our experimental results measure latency, handshake completion times, and computational overhead compared to classical ECC-256 standards. The findings demonstrate that while ML-KEM increases packet payload sizes, it achieves acceptable performance trade-offs, providing a secure cryptographic foundation for next-generation wireless communications without significantly degrading real-time protocol efficiency.
This paper evaluates the performance impact of Post-Quantum Cryptography (PQC) integration into critical wireless communication protocols. With the rapid advances in quantum computing, conventional public-key cryptographic standards such as RSA and ECC face imminent vulnerability. To address this security challenge, we analyze lattice-based algorithms—specifically ML-KEM (formerly CRYSTALS-Kyber)—when deployed over constrained wireless protocol architectures. Our experimental results measure latency, handshake completion times, and computational overhead compared to classical ECC-256 standards. The findings demonstrate that while ML-KEM increases packet payload sizes, it achieves acceptable performance trade-offs, providing a secure cryptographic foundation for next-generation wireless communications without significantly degrading real-time protocol efficiency.
The rapid advancement of quantum computing poses significant threats to classical cryptographic methods, such as Rivest–Shamir–Adleman (RSA) and Elliptic Curve Cryptography (ECC), which currently secure Internet of Things (IoT) and cloud communications. Post-Quantum Cryptography (PQC), particularly lattice-based schemes, has emerged as a promising alternative. CRYSTALS-Kyber, standardized by the National Institute of Standards and Technology (NIST) as ML-KEM, has shown efficiency and practicality for constrained IoT devices. Most existing research has focused on PQC within the Transport Layer Security (TLS) protocol. Consequently, a critical gap exists in understanding PQC’s performance in lightweight IoT protocols. These are Message Queuing Telemetry Transport (MQTT) and Constrained Application Protocol (CoAP), particularly under adverse network conditions. To address this gap, this paper provides a systematic review of the literature on the network resilience and performance of CRYSTALS-Kyber when integrated into these protocols operating over lossy and high-latency networks. Additional challenges include non-standardized integration, resource limitations, and side-channel vulnerabilities. This review provides a structured synthesis of current knowledge, highlights unresolved trade-offs between security and efficiency, and outlines future research directions, including protocol-level optimization, lightweight signature schemes, and resilience testing of PQC-secured IoT protocols under realistic conditions.
The rapid expansion of 5G wireless networks has introduced unprecedented security challenges, particularly in the face of emerging quantum computing threats. Traditional cryptographic schemes, including Elliptic Curve Cryptography (ECC), face vulnerabilities against quantum-based attacks, necessitating a transition toward quantum-resistant security solutions. A hybrid cryptographic framework incorporating CRYSTALS-Kyber for key encapsulation is proposed to mitigate these threats. CRYSTALS-Kyber, a lattice-based post-quantum cryptographic algorithm, enhances key exchange mechanisms by resisting quantum decryption attempts while maintaining computational efficiency. The proposed framework integrates CRYSTALS-Kyber with conventional ECC to establish a dual-layer security model that ensures backward compatibility while progressively adapting to quantum security standards. Simulation results demonstrate that the hybrid approach significantly enhances key exchange security while maintaining a low computational overhead. In particular, latency is reduced by 18.4% compared to standalone ECC-based key exchange, while key generation time improves by 22.7% due to CRYSTALS-Kyber’s efficient polynomial arithmetic operations. Furthermore, encryption throughput increases by 31.2%, demonstrating the model''s capability to secure high-speed 5G transmissions with minimal performance trade-offs.
The emergence of large-scale quantum computing presents an imminent threat to contemporary public-key cryptosystems, with quantum algorithms such as Shor’s algorithm capable of efficiently breaking RSA and elliptic curve cryptography (ECC). This vulnerability has catalyzed accelerated standardization efforts for post-quantum cryptography (PQC) by the U.S. National Institute of Standards and Technology (NIST) and global security stakeholders. While theoretical security analysis of these quantum-resistant algorithms has advanced considerably, comprehensive real-world performance benchmarks spanning diverse computing environments—from high-performance cloud infrastructure to severely resource-constrained IoT devices—remain insufficient for informed deployment planning. This paper presents the most extensive cross-platform empirical evaluation to date of NIST-selected PQC algorithms, including CRYSTALS-Kyber and NTRU for key encapsulation mechanisms (KEMs), alongside BIKE as a code-based alternative, and CRYSTALS-Dilithium and Falcon for digital signatures. Our systematic benchmarking framework measures computational latency, memory utilization, key sizes, and protocol overhead across multiple security levels (NIST Levels 1, 3, and 5) in three distinct hardware environments and various network conditions. Results demonstrate that contemporary server architectures can implement these algorithms with negligible performance impact (<5% additional latency), making immediate adoption feasible for cloud services. In contrast, resource-constrained devices experience more significant overhead, with computational demands varying by up to 12× between algorithms at equivalent security levels, highlighting the importance of algorithm selection for edge deployments. Beyond standalone algorithm performance, we analyze integration challenges within existing security protocols, revealing that naive implementation of PQC in TLS 1.3 can increase handshake size by up to 7× compared to classical approaches. To address this, we propose and evaluate three optimization strategies that reduce bandwidth requirements by 40–60% without compromising security guarantees. Our investigation further encompasses memory-constrained implementation techniques, side-channel resistance measures, and hybrid classical-quantum approaches for transitional deployments. Based on these comprehensive findings, we present a risk-based migration framework and algorithm selection guidelines tailored to specific use cases, including financial transactions, secure firmware updates, vehicle-to-infrastructure communications, and IoT fleet management. This practical roadmap enables organizations to strategically prioritize systems for quantum-resistant upgrades based on data sensitivity, resource constraints, and technical feasibility. Our results conclusively demonstrate that PQC is deployment-ready for most applications, provided that implementations are carefully optimized for the specific performance characteristics and security requirements of target environments. We also identify several remaining research challenges for the community, including further optimization for ultra-constrained devices, standardization of hybrid schemes, and hardware acceleration opportunities.
The emergence of quantum computing presents a significant threat to classical cryptographic primitives, particularly those employed in securing internet communications via widely used protocols such as Transport Layer Security (TLS). As conventional key exchange mechanisms will become increasingly vulnerable in the post-quantum era, the integration of post-quantum cryptographic (PQC) algorithms into existing security protocols is of utmost importance. This study investigates the impact of incorporating PQC key encapsulation mechanisms—specifically, the recent standards CRYSTALS-Kyber and HQC, in conjunction with the candidate standard BIKE—into the TLS 1.3 handshake. A comprehensive experimental evaluation was conducted to measure handshake latency under emulated network conditions with varying packet loss probabilities. The findings offer useful insights into the performance trade-offs introduced by PQC integration and further highlight the necessity of a timely transition to post-quantum 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.
6G networks will require quantum-secure cryptography deployed across core infrastructure, edge nodes, resource-constrained IoT devices. Although post-quantum cryptographic (PQC) algorithms have been standardized by NIST, their practical deployability in bandwidth and latency limited wireless systems remains unclear. This paper presents a practical evaluation of NIST selected PQC schemes, including ML-KEM (Kyber), ML-DSA (Dilithium), and Falcon. Benchmarks conducted with OpenSSL and the OQS provider on heterogeneous platforms show that while computational performance is acceptable, ciphertext and signature size expansion significantly impact handshake reliability and bandwidth efficiency, particularly at the network edge. The results highlight key system-level trade-offs and motivate the need for PQC optimization and deployment-aware design for future quantum-secure 6G networks.