The evolution of smart grids necessitates the deployment of highly secure communication protocols, particularly for critical infrastructure such as Distribution Ring Network Cabinets (RMUs). In this work, we present an integrated cryptographic framework that combines Quantum Key Distribution (QKD) with an SM2-based SPEKE protocol to establish a resilient end-to-end secure communication channel. Initially, QKD is employed—using, for instance, the BB84 protocol—to generate a quantum key with information-theoretic security guar- antees. In parallel, an SM2-enhanced SPEKE protocol is used to perform mutual authentication through elliptic curve-based ephemeral key exchange and identity binding, thereby deriving an authentication key. These two independent keys are then combined with a randomly generated salt via a HMAC-based Key Derivation Function (HKDF) to derive a robust session key. The session key is subsequently utilized to secure data transmissions through symmetric encryption, effectively mitigating threats from eavesdropping, man-in-the-middle, replay, and side-channel attacks. Comprehensive theoretical analysis and preliminary evaluations suggest that our layered approach not only bridges quantum and classical cryptographic techniques but also meets the stringent security and performance requirements of modern power system communications. This work provides a promising pathway toward future-proofing secure communication in next-generation smart grids.
The evolution of smart grids necessitates the deployment of highly secure communication protocols, particularly for critical infrastructure such as Distribution Ring Network Cabinets (RMUs). In this work, we present an integrated cryptographic framework that combines Quantum Key Distribution (QKD) with an SM2-based SPEKE protocol to establish a resilient end-to-end secure communication channel. Initially, QKD is employed—using, for instance, the BB84 protocol—to generate a quantum key with information-theoretic security guar- antees. In parallel, an SM2-enhanced SPEKE protocol is used to perform mutual authentication through elliptic curve-based ephemeral key exchange and identity binding, thereby deriving an authentication key. These two independent keys are then combined with a randomly generated salt via a HMAC-based Key Derivation Function (HKDF) to derive a robust session key. The session key is subsequently utilized to secure data transmissions through symmetric encryption, effectively mitigating threats from eavesdropping, man-in-the-middle, replay, and side-channel attacks. Comprehensive theoretical analysis and preliminary evaluations suggest that our layered approach not only bridges quantum and classical cryptographic techniques but also meets the stringent security and performance requirements of modern power system communications. This work provides a promising pathway toward future-proofing secure communication in next-generation smart grids.
This paper presents an enhanced Quantum Key Distribution (QKD) protocol to strengthen the security of smart grid systems through secure communication and signature verification. As smart grids increasingly depend on digital communication, safeguarding them against cyber threats is paramount. Our approach incorporates Hadamard, SWAP, and rotation gates to fortify the BB84 protocol, ensuring secure key exchange while verifying the integrity and authenticity of transmitted data between smart meters and grid operators. Experimental results demonstrate that the protocol provides efficient key generation, encryption, and decryption while improving eavesdropping detection. With 10 qubits, the protocol achieved a key generation rate of 957 bits and successfully encrypted messages. These findings suggest that QKD offers a robust security framework for smart grid environments, providing superior resistance to both quantum and classical attacks.
ABSTRACT Smart grids, as critical Internet‐of‐Things (IoT) applications, demand highly secure data transmission due to their reliance on interconnected devices and networks for managing electricity. Traditional encryption methods face challenges in secure key distribution and are increasingly vulnerable to quantum attacks. This work addresses these vulnerabilities by utilizing quantum cryptography to secure data exchange in smart grid systems. The primary contributions are the implementation of multi‐level encryption algorithms, specifically Quantum Key Distribution (QKD) and the BB84 protocol, to ensure robust confidentiality and integrity in data transmission, overcoming key distribution issues and providing inherent detection of eavesdropping. Our proposed system facilitates secured, real‐time monitoring, control, and optimization of electricity generation, distribution, and consumption among distributed components. The performance of this framework is evaluated based on key metrics including relative execution time, correlation analysis of plaintext versus ciphertext, and privacy amplification effectiveness, demonstrating enhanced security and operational efficiency.
Quantum computing poses a growing challenge to conventional public-key cryptographic systems, particularly those relying on integer factorization and discrete logarithm problems. Widely deployed schemes such as RSA and elliptic curve cryptography are expected to become vulnerable as large-scale quantum computing capabilities emerge. This concern has intensified the demand for communication frameworks capable of maintaining long-term confidentiality in the presence of both classical and quantum-enabled adversaries. This paper presents a Hybrid Quantum-Resilient Key Exchange Algorithm (HKEA) that combines classical cryptographic mechanisms with lattice-based post-quantum cryptographic techniques to establish secure session keys. The proposed framework employs a dual-layer key establishment process in which classical and post-quantum shared secrets are integrated to generate a strengthened hybrid session key. The design aims to preserve compatibility with existing communication infrastructures while improving resistance to future quantum attacks and mitigating risks associated with Harvest-Now-Decrypt-Later (HNDL) threats. A prototype implementation was developed using Python-based cryptographic and post-quantum security libraries. The framework was evaluated using key generation time, latency, throughput, computational overhead, and security strength as performance indicators. Comparative analysis against conventional cryptographic approaches indicates that the proposed HKEA provides enhanced quantum resilience with only a modest increase in computational cost. The proposed approach offers a practical pathway toward secure and scalable communication systems for next-generation quantum-era network environments.
The development and evolution of the smart grid into complex, cyber-physical energy systems make it essential to secure?communication among the distributed components. The rise of quantum computing has made it even more pressing to develop protocols that?are secure outside the limitations of classical cryptosystems. In this paper, it proposes a quantum-assisting secure communication scheme (QASCP) to?boost the security and energy for smart grid communication systems. The proposed protocol combines quantum key distribution with lightweight entropy-based mutual authentication and dynamic session management. It is designed to defend grid assets such as control centers, smart meters, and distribute energy?resources from sophisticated adversarial models, including quantum-capable threats. The approach consists of system level simulation utilizing a?co-simulation framework customized for quantum smart grid communication. The performance of this scheme was compared?against classical and PQ lattice-based schemes in terms of the authentication latency, energy consumption, entropy preservation, and scalability to handle the load and delay effects, under the assumptions of different loading and delay scenarios. Simulation results show that QASCP is able to reduce the energy consumption and authenticity latency, simultaneously it keeps the high throughput and leaves strong entropy?under attack scenarios. The protocol is also shown to?remain robust with varying quantum bit error rates as well as having a smaller memory footprint on popular network topologies. The results provide evidence for the practical integration of?quantum-secure communication in smart grid architectures. By addressing security and performance simultaneously, the protocol?provides a path to future-proof energy networks which can support dependable operations in a quantum-enhanced environment. This could be future enhance for energy efficiency.
The IoT Smart grid systems require privacy-sensitive, scalable, and secure communication, but the traditional cryptographic methods are susceptible to quantum attacks, central failure, and high computational costs. In this paper, the author presents a multi-layered structure that uses various yet complementary approaches in order to solve these issues. Quantum Key Distribution (QKD) is applied to create quantum-resilient key management to provide the secure transmission against future quantum attacks. Homomorphic Encryption (HE) allows the computations to be performed on encrypted data to preserve privacy and minimize the risks of exposure at some point during the processing. Federated Learning (FL) is used to assist the decentralized intelligence, where anomaly detection models are trained together without the need of transferring sensitive raw data. The combination of the two techniques produces a hybrid architecture that is both highly secure and scalable. Experimental validation on real-world smart grid data indicates the 42% communication overhead reduction versus traditional encryption, a 35% improvement in anomaly detection with FL and strong resistance to quantum attack and side-channel attack simulation. The findings support the fact the suggested solution provides end-to-end confidentiality, integrity, and performance efficiency, which will form a basis of quantum-resilience and privacy-preserving communication in future smart grid IoT network.
This paper proposes a unique paradigm for strengthening secure communications in industrial mechatronics and embedded systems by seamlessly combining post-quantum and quantum cryptography. Implementing quantum key distribution (QKD) protocols, notably BB84 and E91, which allow parties to generate securely shared keys over untrusted quantum channels, forms the system's foundation. A thorough analysis of these QKD algorithms reveals they can offer guaranteed eavesdropping detection and unconditional forward secrecy, two features necessary for building secure, solid communications. The paper incorporates advanced post-quantum cryptographic techniques developed during the NIST Post-Quantum Cryptography competition to address the imminent threat of widespread quantum computing capabilities. These include the lattice-based CRYSTALS-Kyber and hash-based SPHINCS+ algorithm. The framework utilizes an advanced hybrid technique that provides a robust compound security solution by deriving subordinate keys for the post-quantum cryptographic primitives from the QKD-established root keys. Moreover, the study suggests an automated key management system that effectively manages the essential lifecycle, including creation, distribution, revocation, and rotation, while guaranteeing adherence to current industrial security requirements, including IEC 62443. The speed of crucial cryptographic processes, such as key exchange, encryption, decryption, signature, and verification for the quantum and post-quantum components, is measured by performance assessment. It weighs trade-offs versus established techniques like an elliptic curve and RSA cryptography. Through enhancing the security and resilience of critical industrial infrastructure, such as manufacturing facilities and power grids, this study lowers the chances of system failures or malicious assaults, improves public safety, and prevents disruptions.