The emergence of quantum computing presents a critical threat to classical cryptographic schemes such as Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC), which underpin protocols such as TLS 1.3. This study proposes and evaluates an optimized integration of the CRYSTALS-Kyber algorithm within the Transport Layer Security (TLS) 1.3 protocol for resource-constrained IoT devices. The objective is to achieve quantum-resistant security while maintaining practical performance on embedded hardware. Using the Open Quantum Safe library and OpenSSL, the implementation is bench marked on Raspberry Pi and ARM Cortex platforms under real-world constraints. Key findings demonstrate that Kyber512 achieves a favorable balance between performance and post-quantum security, with low handshake latency, peak memory usage under 22 KB, and energy consumption as low as 0.36 mJ per handshake. A hybrid implementation combining Kyber with Elliptic Curve Diffie-Hellman Ephemeral (ECDHE) ensures backward compatibility while enabling 128-256 bit quantum-safe security. Empirical validation confirms constanttime execution, side-channel resistance ($p>0.05$over 100 K traces), and robust operation under packet loss. These results establish CRYSTALS-Kyber as a viable candidate for postquantum secure communication in constrained IoT environments.
The emergence of quantum computing presents a critical threat to classical cryptographic schemes such as Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC), which underpin protocols such as TLS 1.3. This study proposes and evaluates an optimized integration of the CRYSTALS-Kyber algorithm within the Transport Layer Security (TLS) 1.3 protocol for resource-constrained IoT devices. The objective is to achieve quantum-resistant security while maintaining practical performance on embedded hardware. Using the Open Quantum Safe library and OpenSSL, the implementation is bench marked on Raspberry Pi and ARM Cortex platforms under real-world constraints. Key findings demonstrate that Kyber512 achieves a favorable balance between performance and post-quantum security, with low handshake latency, peak memory usage under 22 KB, and energy consumption as low as 0.36 mJ per handshake. A hybrid implementation combining Kyber with Elliptic Curve Diffie-Hellman Ephemeral (ECDHE) ensures backward compatibility while enabling 128-256 bit quantum-safe security. Empirical validation confirms constanttime execution, side-channel resistance (p>0.05over 100 K traces), and robust operation under packet loss. These results establish CRYSTALS-Kyber as a viable candidate for postquantum secure communication in constrained IoT environments.
The rapid advancement of quantum computing poses a critical threat to classical cryptographic algorithms such as RSA and ECC, particularly in Internet of Things (IoT) devices, where secure communication is essential but often constrained by limited computational resources. This paper investigates the feasibility of deploying post-quantum cryptography (PQC) algorithms on resource-constrained devices. In particular, we implement three PQC algorithms - BIKE, CRYSTALS-Kyber, and HQC - on a lightweight IoT platform built with Raspberry Pi devices. Leveraging the Open Quantum Safe (liboqs) library in conjunction with mbedTLS, we develop quantumsecure key exchange protocols, and evaluate their performance in terms of computational overhead, memory usage, and energy consumption for quantum secure communication. Experimental results demonstrate that the integration of PQC algorithms on constrained hardware is practical, reinforcing the urgent need for quantum-resilient cryptographic frameworks in next-generation IoT devices. The implementation of this paper is available at https://iqsec-lab.github.io/PQC-IoT/.
The rapid advancement of quantum computing poses a critical threat to classical cryptographic algorithms such as RSA and ECC, particularly in Internet of Things (IoT) devices, where secure communication is essential but often constrained by limited computational resources. This paper investigates the feasibility of deploying post-quantum cryptography (PQC) algorithms on resource-constrained devices. In particular, we implement three PQC algorithms -- BIKE, CRYSTALS-Kyber, and HQC -- on a lightweight IoT platform built with Raspberry Pi devices. Leveraging the Open Quantum Safe (\texttt{liboqs}) library in conjunction with \texttt{mbedTLS}, we develop quantum-secure key exchange protocols, and evaluate their performance in terms of computational overhead, memory usage, and energy consumption for quantum secure communication. Experimental results demonstrate that the integration of PQC algorithms on constrained hardware is practical, reinforcing the urgent need for quantum-resilient cryptographic frameworks in next-generation IoT devices. The implementation of this paper is available at https://iqsec-lab.github.io/PQC-IoT/.
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 advancement of quantum computing poses a critical threat to classical cryptographic algorithms such as RSA and ECC, particularly in Internet of Things (IoT) devices, where secure communication is essential but often constrained by limited computational resources. This paper investigates the feasibility of deploying post-quantum cryptography (PQC) algorithms on resource-constrained devices. In particular, we implement three PQC algorithms - BIKE, CRYSTALS-Kyber, and HQC - on a lightweight IoT platform built with Raspberry Pi devices. Leveraging the Open Quantum Safe (liboqs) library in conjunction with mbedTLS, we develop quantumsecure key exchange protocols, and evaluate their performance in terms of computational overhead, memory usage, and energy consumption for quantum secure communication. Experimental results demonstrate that the integration of PQC algorithms on constrained hardware is practical, reinforcing the urgent need for quantum-resilient cryptographic frameworks in next-generation IoT devices. The implementation of this paper is available at https://iqsec-lab.github.io/PQC-IoT/.
Currently available cryptographic algorithms such as the RSA, Diffie-Hellman and the ECC are used in securing most Internet communications across the Internet. Theoretical quantum algorithms (and the Shor algorithm in particular) were demonstrated to be able to efficiently break that type of classical cryptography as soon as large-scale quantum computers are developed. To handle this new emerging security problem, PQC has been proposed as a class of cryptographic algorithms that is resistant to both quantum and classical attackers. It is a research paper offering and experimentally implementing a hybrid PQC-TLS protocol in a heterogeneous network architecture which includes edge computing devices and cloud computing and IoT devices. The suggested architecture integrates both lattice-based CRYSTALS-Kyber key encapsulation scheme and CRYSTALS-Dilithium digital signature scheme in the TLS 1.3 handshake without being interoperable with the older ECC-based key exchange schemes. Five measures of performance that included handshake latency, CPU consumption, memory consumption, bandwidth overhead and energy consumption were analyzed in detail through experimentation. The experiments were conducted using in Iot, edge and cloud nodes under controlled conditions that were repeated a number of times to give reliability in the statistics. The results indicate that the integration of PQC has moderate overhead (mean increase in latency about 1517) and decent computational and energy requirements. Another method of resisting popular attacks on networks like as the man in the middle, replay, and downgrade attacks, is security validation. The findings indicate that quantum resilient secure communication migration to a heterogeneous distributed infrastructure can be practically and scalably provided using hybrid PQC-TLS protocols. Statistical analysis including standard deviation and 95% confidence intervals was performed to validate the reliability of the results.
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.