The security of data communication in Smart Grids (SGs) is traditionally reliant on cryptosystems based on the computational difficulty of certain mathematical problems. However, the advent of quantum computers, with their unparalleled computational power, threatens the robustness of classical cryptographic methods. Despite significant research into quantum-secure solutions, limited attention has been given to quantum-based security in SGs. To address these emerging security challenges, this paper proposes a quantum-based multifaceted secure communication model (Qu-MCM) for SGs, offering unconditional security by leveraging quantum mechanical principles. The key contributions include: quantum encryption of power consumption data using truly random keys, a quantum-secure key exchange protocol between power users and utility suppliers, and data authentication and integrity verification through quantum fingerprinting. The model is experimentally evaluated via simulations on classical computer and actual quantum hardware using the IBM Qiskit platform. The experimental results show that the encryption algorithm achieves an accuracy of 81.73%, while the authentication algorithm reaches 87.4% through a probability distribution graph where accuracy signifies the dominance of correct outputs. The results demonstrate the validity of the proposed model, with a comprehensive security analysis confirming its perfect security, where perfect security is defined as the maximally mixed states achieved after encryption that is impossible to break for an eavesdropper equipped with quantum resources.
The security of data communication in Smart Grids (SGs) is traditionally reliant on cryptosystems based on the computational difficulty of certain mathematical problems. However, the advent of quantum computers, with their unparalleled computational power, threatens the robustness of classical cryptographic methods. Despite significant research into quantum-secure solutions, limited attention has been given to quantum-based security in SGs. To address these emerging security challenges, this paper proposes a quantum-based multifaceted secure communication model (Qu-MCM) for SGs, offering unconditional security by leveraging quantum mechanical principles. The key contributions include: quantum encryption of power consumption data using truly random keys, a quantum-secure key exchange protocol between power users and utility suppliers, and data authentication and integrity verification through quantum fingerprinting. The model is experimentally evaluated via simulations on classical computer and actual quantum hardware using the IBM Qiskit platform. The experimental results show that the encryption algorithm achieves an accuracy of 81.73%, while the authentication algorithm reaches 87.4% through a probability distribution graph where accuracy signifies the dominance of correct outputs. The results demonstrate the validity of the proposed model, with a comprehensive security analysis confirming its perfect security, where perfect security is defined as the maximally mixed states achieved after encryption that is impossible to break for an eavesdropper equipped with quantum resources.
The vast amounts of data and the growing number of attacks in the smart grids (SGs) are consequences of the huge reliance on information and communication technology, that is further posing serious risks to the confidentiality and integrity of the power data. On the other hand, recent advancements in quantum cryptography are emerging as foundation for secure communication protocols, offering robust defenses against potential cyber threats in SGs. In response to the imperative challenge of secure data transmission, a quantum cryptography based unconditionally secure data transmission model is proposed that integrates quantum key distribution (QKD) with classical encryption. Furthermore, truly random encryption keys generated through quantum random number generator (QRNG) are utilized that assists to overcome the limitations of pseudo-random number generator and leads to the highly immune data security mechanism. The efficacy of proposed model is evaluated through experimental results obtained over classical simulator along with real quantum computers accessed through the IBM Qiskit platform. The statistical analysis conducted on the resulting quantum states showcases a high degree of accurate measurements, thereby confirming the relevance of the proposed work.
Integrating the Internet of Things (IoT) in smart grids has revolutionized the energy sector, enabling real-time data collection and efficient energy distribution. However, this integration also introduces significant security challenges, particularly data encryption. Traditional encryption algorithms used in IoT are vulnerable to various attacks, and the advent of quantum computing exacerbates these vulnerabilities. To address the above challenges, this paper proposes a novel encryption mechanism, the Quantum-Resistant Hybrid Encryption for IoT (QRHE-IoT), designed to enhance the security of communications in IoT-enabled smart grids. QRHE-IoT combines the strengths of symmetric and asymmetric encryption algorithms and incorporates quantum-resistant algorithms to provide robust security. This paper explains the QRHE-IoT mechanism, its theoretical basis, and how it addresses the security challenges in smart grid communications. It also presents the results of tests conducted to evaluate the effectiveness of QRHE-IoT in a simulated smart grid environment. The proposed QRHE-IoT mechanism presents a promising solution to these challenges, offering robust security for smart grid communications in the face of emerging threats, including quantum computing.
The intermittent communication of power usage information in smart grids (SGs) is highly susceptible to potential cyberattacks, which is protected by classical public-key cryptosystems. However, recent advancements in the field of quantum computing have rendered these cryptosystems trivially insecure, triggering the immediate requirement for a highly resilient data communication scheme. This paper addresses the above-mentioned issue by designing a Quantum Encryption and Quantum Fourier Transformation (QFT) based secure data communication and aggregation model (QC-EAM) for SG environments. QC-EAM enables the power consumption data of the users to be encrypted using truly random encryption keys, ensuring unconditional security, while group homomorphism of Clifford Gates is utilized to achieve homomorphic evaluation of the encrypted quantum states. Moreover, a quantum-based data aggregation circuit is developed that performs QFT over the encrypted quantum states, yielding a secure and aggregated state. Furthermore, entanglement swaps-based quantum networking is considered as an enabling infrastructure for the proposed scenario, ensuring preservation of highly susceptible quantum states. The experimental evaluation of QC-EAM is achieved through classical computer-based simulations and tested on actual quantum system, provisioned through the IBM Qiskit platform. Statistical measurements of quantum circuits yield significantly accurate results, proving the validity of QC-EAM. Moreover, a thorough security analysis is also provided that confirms the perfect security achieved through maximally mixed states.
The Smart Grid (SG) represents the next-generation power system in the future grid infrastructure, designed for self-healing, adaptability, and sustainability. However, the interconnected and geographically dispersed nature of SG systems introduces cybersecurity risks, potentially leading to severe incidents. Cyber attacks on SG applications could result in significant events, including outages and infrastructure damage. These attacks may compromise energy data, starting with the leakage of personal information from grid members. To address these risks, confidentiality, device authentication, and data integrity are essential, traditionally implemented through public-key cryptography (PKC). The rise of quantum computers and the potential adaptation of algorithms like Shor’s poses a threat to PKC algorithms in SG communications. In response, we propose a security protocol for post-quantum communication in SG applications, ensuring resilience against classical and quantum attacks. The protocol has been tested through rigorous informal security analysis, and comparative analysis demonstrates its scalability and effectiveness in real-world scenarios.
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.
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.