Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)

QKD-Enhanced Attribute-Based Encryption for Secure and Access Control in Smart Grid Databases

Cuiling Liu, Jing Zhang, Zhen Yao, Haoyu Hou, Zhiyuan Hu, LV Yuxiang

Published Nov 24, 2025• 0 citations
Publisher

Abstract

The energy and power industry faces increasing data security challenges amidst its digital transformation. Databases, as the foundation of digital infrastructure, require advanced encryption techniques to safeguard sensitive information. This paper proposes a novel encryption framework, QKD-ABE, that integrates Quantum Key Distribution (QKD) with Attribute-Based Encryption (ABE) to enhance the confidentiality, integrity, and access control of power system data. QKD enables unconditional security in key distribution by leveraging quantum mechanics, effectively preventing key interception and tampering. ABE provides fine-grained access control by enforcing encryption policies based on user attributes, ensuring that only authorized individuals can access private data. The proposed scheme also demonstrates strong resistance to common security threats, including man-in-the-middle and eavesdropping attacks, through quantum measurement disturbance and Quantum Bit Error Rate (QBerr) verification. Experimental results and theoretical analysis indicate that QKD-ABE offers a secure, efficient, and scalable solution for protecting sensitive data in modern smart grid environments.

DOI
10.1109/isceic67854.2025.11405561

Related papers

Enhanced Quantum Key Distribution Protocol for Secure Smart Grid Communication using Quantum Gates

Navya Sree Anagani, Jaykumar Lachure, Rajesh Doriya +1 more

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.

International Conference on Power, Control and Computing Technologies (ICPC2T)•Jan 20, 2025•0 citations

Attribute-Based Encryption in Securing Big Data from Post-Quantum Perspective: A Survey

Zulianie Binti Jemihin, Tan Soo Fun, Gwo Chin Chung

Attribute-based encryption (ABE) cryptography is widely known for its potential to solve the scalability issue of recent public key infrastructure (PKI). It provides a fine-grained access control system with high flexibility and efficiency by labeling the secret key and ciphertext with distinctive attributes. Due to its fine-grained features, the ABE scheme is a protection layer in securing users’ data and privacy in big data processing and analytics. However, quantum computing, new technology on the horizon that will transform the security and privacy environment, has begun to appear. Like the conventional ABE schemes, present cryptography is not excluded from the impacts of quantum technology as they are not made to be quantum-resistant. While most recent surveys generally touched on the generic features of attribute-based encryption schemes such as user revocation, scalability, flexibility, data confidentiality, and scope in pairing-based ABE schemes, this survey investigated quantum-resistant ABE schemes in securing big data. This survey reviews the challenges faced by the recent ABE cryptography in the post-quantum era and highlights its differences from the conventional pairing-based ABE schemes. Subsequently, we defined the criteria of an ideal quantum-resistant ABE scheme. Additionally, existing works on quantum-resistant ABE schemes are reviewed based on their algorithms design, security and functionalities. Lastly, we summarized quantum-resistant ABE schemes’ ongoing challenges and future works.

Cryptography•Aug 5, 2022•23 citations

An efficient quantum hash-based CP-ABE framework on cloud storage data

Kranthi Kumar Singamaneni, P. Sanyasi Naidu

With the exponential growth of cloud data and storage space, cloud security has become one of the interesting research areas of cloud computing servers. Attribute-based encryption is a public key encryption algorithm that allows cloud users to secure their sensitive information in the public cloud servers. Quantum key distribution (QKD) is required to improve the security of communication systems. Quantum cryptographic scheme completely depends on quantum mechanics. The major objective of quantum key distribution is to generate a key that takes part in encryption. Traditional attribute-based encryption models are insecure and possible of key distribution attacks using man-in-the-middle attacks. Also, as the size of the input data increases, traditional ABE models failed to compute efficient secret key due to computational time and network overhead. To overcome these issues, a novel chaotic integrity and quantum key distribution (QKD)-based cipher text policy ABE model is implemented in cloud environment. Experimental results proved that the proposed model has high computation speed, storage overhead and secured key distribution compared to traditional CP-ABE, KPABE and QKD-ABE models.

International Journal of Advanced Intelligence Paradigms•Jan 1, 2022•16 citations

Quantum-Secure Data Transmission in Smart Grid

Pooja Rani, Ashutosh K. Singh, Anshu Parashar +1 more

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.

IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)•Dec 16, 2024•6 citations

Attribute-based encryption supporting data filtration over post-quantum assumptions

Chunhong Jiao, Xinyin Xiang

As the internet becomes prevalent, plenty of sensitive data is being transferred in open networks environment. It is worth concerning how to achieve efficient data transfer in a privacy-preserving manner. Although attribute-based encryption (ABE) can achieve fine-grained access control over encrypted data, it still could not work for restricting unauthorised user to access. In this paper, we introduce a new cryptographic primitive called attribute-based encryption supporting data filtration (ABE-SDF), and formalise the security mode by incorporating the advantages into previous ABE. Finally, we present an efficient construction of the scheme over post-quantum assumptions our scheme is believed to be quantum-resistant owing to the special property of lattices. Based on the LWE assumption, we prove that the proposed scheme has the indistinguishability against selective chosen plaintext attacks and the authentication information security.

International Journal of Electronic Security and Digital Forensics•Jan 1, 2018•0 citations

Secured Data Transmission Using Quantum Cryptography for Smart Grid

A. V. Ajay, H B Pramod, Vinayakumar Ravi

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.

Security and Privacy•Aug 9, 2025•4 citations
The energy and power industry faces increasing data security challenges amidst its digital transformation. Databases, as the foundation of digital infrastructure, require advanced encryption techniques to safeguard sensitive information. This paper proposes a novel encryption framework, QKD-ABE, that integrates Quantum Key Distribution (QKD) with Attribute-Based Encryption (ABE) to enhance the confidentiality, integrity, and access control of power system data. QKD enables unconditional security in key distribution by leveraging quantum mechanics, effectively preventing key interception and tampering. ABE provides fine-grained access control by enforcing encryption policies based on user attributes, ensuring that only authorized individuals can access private data. The proposed scheme also demonstrates strong resistance to common security threats, including man-in-the-middle and eavesdropping attacks, through quantum measurement disturbance and Quantum Bit Error Rate (QBerr) verification. Experimental results and theoretical analysis indicate that QKD-ABE offers a secure, efficient, and scalable solution for protecting sensitive data in modern smart grid environments.
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.
Attribute-based encryption (ABE) cryptography is widely known for its potential to solve the scalability issue of recent public key infrastructure (PKI). It provides a fine-grained access control system with high flexibility and efficiency by labeling the secret key and ciphertext with distinctive attributes. Due to its fine-grained features, the ABE scheme is a protection layer in securing users’ data and privacy in big data processing and analytics. However, quantum computing, new technology on the horizon that will transform the security and privacy environment, has begun to appear. Like the conventional ABE schemes, present cryptography is not excluded from the impacts of quantum technology as they are not made to be quantum-resistant. While most recent surveys generally touched on the generic features of attribute-based encryption schemes such as user revocation, scalability, flexibility, data confidentiality, and scope in pairing-based ABE schemes, this survey investigated quantum-resistant ABE schemes in securing big data. This survey reviews the challenges faced by the recent ABE cryptography in the post-quantum era and highlights its differences from the conventional pairing-based ABE schemes. Subsequently, we defined the criteria of an ideal quantum-resistant ABE scheme. Additionally, existing works on quantum-resistant ABE schemes are reviewed based on their algorithms design, security and functionalities. Lastly, we summarized quantum-resistant ABE schemes’ ongoing challenges and future works.
With the exponential growth of cloud data and storage space, cloud security has become one of the interesting research areas of cloud computing servers. Attribute-based encryption is a public key encryption algorithm that allows cloud users to secure their sensitive information in the public cloud servers. Quantum key distribution (QKD) is required to improve the security of communication systems. Quantum cryptographic scheme completely depends on quantum mechanics. The major objective of quantum key distribution is to generate a key that takes part in encryption. Traditional attribute-based encryption models are insecure and possible of key distribution attacks using man-in-the-middle attacks. Also, as the size of the input data increases, traditional ABE models failed to compute efficient secret key due to computational time and network overhead. To overcome these issues, a novel chaotic integrity and quantum key distribution (QKD)-based cipher text policy ABE model is implemented in cloud environment. Experimental results proved that the proposed model has high computation speed, storage overhead and secured key distribution compared to traditional CP-ABE, KPABE and QKD-ABE models.
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.
As the internet becomes prevalent, plenty of sensitive data is being transferred in open networks environment. It is worth concerning how to achieve efficient data transfer in a privacy-preserving manner. Although attribute-based encryption (ABE) can achieve fine-grained access control over encrypted data, it still could not work for restricting unauthorised user to access. In this paper, we introduce a new cryptographic primitive called attribute-based encryption supporting data filtration (ABE-SDF), and formalise the security mode by incorporating the advantages into previous ABE. Finally, we present an efficient construction of the scheme over post-quantum assumptions our scheme is believed to be quantum-resistant owing to the special property of lattices. Based on the LWE assumption, we prove that the proposed scheme has the indistinguishability against selective chosen plaintext attacks and the authentication information security.
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.