Blockchain aware proxy re-encryption algorithm-based data sharing scheme

Keshta, Ismail; Aoudni, Yassine; Sandhu, Mukta; Singh, Abha; Xalikovich, Pardayev Abdunabi; Ali, Rizwan; Soni, Mukesh; Lalar, Sachin

doi:10.1016/j.phycom.2023.102048

Cited by 17 publications

(9 citation statements)

References 33 publications

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“…The authors supported their proposal with experimental analysis to support their findings. Keshta et al [16] focused on the data access problem of blockchain data-sharing systems. They offered to utilize a hybrid attribute-based proxy reencryption approach, allowing the proxy server to convert attribute-encrypted ciphertexts into identitybased encrypted ciphertexts to make the previously encrypted data accessible for users with limited resources.…”

Section: Zonda and Meddebmentioning

confidence: 99%

Decentralized Anonymous IoT Data Sharing with Key-Private Proxy Re-Encryption

Günsay,

Yayla

2024

International Journal of Information Security Science

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Secure and scalable data sharing is one of the main concerns of the Internet of Things (IoT) ecosystem. In this paper, we introduce a novel blockchain-based data-sharing construction designed to ensure full anonymity for both the users and the data. To share the encrypted IoT data stored on the cloud, users generate tokens, prove their ownership using zk-SNARKs, and target the destination address anonymously. To tackle the privacy concerns arising from uploading the data to the cloud, we use key-private re-encryption and share only the necessary information with the proxy. As the first time in the literature, we have integrated a token-based blockchain and a key private proxy re-encryption to achieve a fully anonymous data sharing scheme. Furthermore, we provide security proof of our proposed scheme is secure against existential forgery under chosen-plaintext attacks, under eDBDH assumption in the random oracle model.

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Section: Zonda and Meddebmentioning

confidence: 99%

Decentralized Anonymous IoT Data Sharing with Key-Private Proxy Re-Encryption

Günsay,

Yayla

2024

International Journal of Information Security Science

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“…A proxy re-encryption-based data sharing technique is proposed by Keshta et al [18]. To begin, we build a proxy re-encryption method that uses SM2 and the blockchain.…”

Section: Related Workmentioning

confidence: 99%

Securing the Patient’s Breast Cancer Data using Blockchain-based IBE with Deep Learning Model in IoT

D. Baby Sathiya

2024

jes

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Computational intelligence (CI) and artificial intelligence (AI) have a portion to offer in the way of making healthcare systems smart and long-lasting. These technological advances have the potential to lessen our environmental impact while simultaneously increasing expectations for performance. The use of electronic health monitoring systems in healthcare management has been crucial. E-health has the potential to offer patients useful and efficient tracking tools. However, the existing E-Health system has protection disputes. However, there are safety concerns with the present online healthcare system. Doctors with bad intentions might collude with CSPs to compromise their patients' electronic health records (EHRs) or quickly leak EHR information to other opponents for financial gain. Patients might be manipulated by clinicians who work in collusion with a Patient Healthcare Monitoring Service Provider (PHMSP). EHRs for financial gain or disclose the HER content of EHRs directly to other adversaries. Recently, block-chain has emerged as one of the most potent strategies for maintaining privacy and security. The current security issues in e-health monitoring systems are expected to be replaced by this promising security method. To prevent unauthorised parties from accessing encrypted data, blockchain uses encryption. Using a computational intelligence approach, this study presented a blockchain-based encryption framework based on identity-based encryption (IBE) to deliver secure solutions. Furthermore, the study effort utilises optimised deep learning (ODL) to forecast the patient's condition from breast cancer input data. The suggested method improves performance, with an accuracy of 0.93 during training and 0.91 during validation.

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“…Therefore, multiple privacy requirements, including authenticity, auditing, and integrity, must be met by the cloud. To guarantee secure data storage, accountability, discretion, confidentiality, non-repudiation, and data security measures must be implemented [30]. Access permission was pre-defined for patients through smart contracts, ensuring secure data sharing.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Multi-User Groupwise Integrity CP-ABE(GI-CPABE) for Homogeneous and Heterogeneous Cloud Blockchain Transactions

Keesara Sravanthi

2024

jes

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As the size of medical data grows exponentially, safeguarding Electronic Health Records (EHR) via cloud blockchain transactions becomes increasingly critical. This paper presents the Multi-User Groupwise Integrity Ciphertext-Policy Attribute-Based Encryption (GI-CPABE), an efficient framework designed to ensure robust data security. By implementing an Improved Ciphertext-Policy Attribute-Based Encryption (ICP-ABE), the GI-CPABE framework is designed to be compatible with both homogeneous and heterogeneous cloud environments, providing secure access that is role-specific and reliable. A distinctive feature of this framework is its role-based access control mechanism, which efficiently assigns user access rights and roles based on multi-user group attributes, considered as integrity measures. An experimental setup was established on a real-time cloud server, simulating a cloud based EHR system. Test data, mimicking real-world EHRs, was generated and subjected to encryption and decryption processes, evaluating the time efficiency of these operations. The proposed GI-CPABE framework demonstrated optimized storage utilization by calculating the overhead of encrypted data, ensuring data integrity through defined attribute-based policies, and enabling secure, controlled access to medical data. Furthermore, a comparative analysis was conducted to ascertain the effectiveness of the proposed framework against existing models. The implementation of access control mechanisms exhibited robust enforcement of access controls tailored to different user roles such as healthcare providers, patients, and administrators.

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Blockchain aware proxy re-encryption algorithm-based data sharing scheme

Cited by 17 publications

References 33 publications

Decentralized Anonymous IoT Data Sharing with Key-Private Proxy Re-Encryption

Decentralized Anonymous IoT Data Sharing with Key-Private Proxy Re-Encryption

Securing the Patient’s Breast Cancer Data using Blockchain-based IBE with Deep Learning Model in IoT

An Efficient Multi-User Groupwise Integrity CP-ABE(GI-CPABE) for Homogeneous and Heterogeneous Cloud Blockchain Transactions

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