Secure Data Sharing of Personal Health Records in Cloud Using Fine-Grained and Enhanced Attribute-Based Encryption

Selvam, L.; Arokia, Renjit J

doi:10.1109/icctct.2018.8551006

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…This method encrypts the medical record by integrating the tiered access structures into a single access structure. Selvam and Renjit 9 examined the fine‐grained enhanced ABE ability to securely access the data for medical records from various access points and share each patient's medical record file. To tackle the centralized storage difficulty, this paper provides a system that stores data utilizing a blockchain based data storage and access method.…”

Section: Literature Surveymentioning

confidence: 99%

Design of efficient storage and retrieval of medical records in blockchain based on InterPlanetary File System and modified bloom tree

Devi

Bhuvaneswari

2023

Security and Privacy

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In the healthcare sector, medical records contain sensitive information about patients, so guaranteeing the confidentiality and integrity of it is essential. To improve the security of it, blockchain technology is being utilized. The blockchain is a type of distributed ledger and it keeps data securely while also generating trust without the need of third party. It has data storage constraint and Merkle tree preserves data integrity but it is inefficient when searching transactions within it. Hence this paper describes InterPlanetary File System (IPFS) based storage and modified bloom tree data structure which is a hybridization of bloom filter and Merkle tree for efficient searching. To protect data privacy, initially it encrypts medical records using ciphertext policy‐attribute based encryption and then the data stored on IPFS returns a hash value. To diminish the false positive rate (FPR), the hash returned by IPFS is stored in two parts of the bloom filter. The first part stores the data by using “k” non‐cryptographic hash function and second part stores the transformed data with the same hash function. The bloom tree is created using Merkle proof for verification of medical record in blockchain. The experiments show that the proposed method reduces the FPR rate and searching complexity is O(log2).

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Section: Literature Surveymentioning

confidence: 99%

Design of efficient storage and retrieval of medical records in blockchain based on InterPlanetary File System and modified bloom tree

Devi

Bhuvaneswari

2023

Security and Privacy

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“…In [40], the authors have utilized multi-authority ABE (MAABE) where ABE is implemented with the division of users into domains, each domain having similar privileges that lead to reduce the difficulty with the key management. In [70], the authors used a fine-grained and enhanced MA-ABE (eMA-ABE) for the secure data sharing of P-HRs. this model ensures data confidentiality and user revocation on demand.…”

Section: Crypto Techniquesmentioning

confidence: 99%

A Survey on Secure Cloud-Based E-Health Systems

Yadav¹,

Behera²

2020

EAI Endorsed Transactions on Pervasive Health and Technology

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INTRODUCTION: The e-health (electronic health) system is one of many cloud services which uses computer or electronic systems and cloud technology as its main source of operations for storing and sharing patient's medical data between healthcare service providers and patients. The health data records are kept in a semi-trusted third-party supplier (i.e., cloud). Therefore, its security has become the main concern as the data should not be accessible to unauthorized person. OBJECTIVES: To provide a brief knowledge on the security aspects of cloud-based e-health systems for further improvement in the field of e-health system security. METHODS: This paper presents a literature survey on secure cloud-based e-health systems including ninety-four research papers related to secure cloud-based e-health systems collected from different sources till 2019. RESULTS: The security mechanisms used to secure cloud-based e-health systems are divided into three categories (i.e., crypto, non-crypto, and biometric-based). Also some health related security laws, security mechanisms, advantages and limitations of security mechanisms for all categories are presented. CONCLUSION: This paper will be helpful to do further researches in the research area of e-health system as it consists of the analysis of security mechanisms, security laws, advantages and limitations of the security mechanisms.

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“…key aggregate cryptosystem has been used for revocation of access control [12] . The authors [13] proposed the methodology is sesphr which can be used for securely hold on transmission of the private health records to the approved entities within the cloud storage. PHR owner storing the encrypted data on cloud storage and only authorized person can be access the valid re encryption keys provided by a semi trusted proxy can be decryption of PHR.…”

Section: Fig 2: Structure Of Phr In Cloudmentioning

confidence: 99%

“…The re-encryption keys and V are calculated below. (13) Here ᵡI and ᵡᴩ are the private keys of I and P.…”

Section: Fᵖ=[bᵡ]ᵖ[bpᵛ]ᵖ=[bq]ᵡmentioning

confidence: 99%

Personal Health Record Using Cloudcomputing Technology

2020

IJPHRD

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Personal Health Record (PHR) empowers the patient to deal with their own therapeutic records in a digitalized and centralized path, which extraordinarily facilitates the storage, access, and sharing of PHR with the development of cloud computing. PERSONAL HEALTH RECORD contains sensitive knowledge that ought to be protected against unauthorized users. In this paper, a novel technique is proposed for access control of PHRs, and leverage RSA (Rivest, Shamir, Adleman) algorithm is used to encrypt each patient's PHR file. Other than the previous works related to secure data outsourcing, focus is made on the multiple data owner scenarios and dividing the users in the PHR system into multiple security domains that significantly reduce the critical management complexity for owners and users. A high degree of patient privacy is guaranteed simultaneously by exploiting multi-authority ABE. This method enables dynamic modification of access policies or file attributes, supports efficient on-demand user/attribute revocation and break-glass access under emergency scenarios.

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Secure Data Sharing of Personal Health Records in Cloud Using Fine-Grained and Enhanced Attribute-Based Encryption

Cited by 8 publications

References 6 publications

Design of efficient storage and retrieval of medical records in blockchain based on InterPlanetary File System and modified bloom tree

Design of efficient storage and retrieval of medical records in blockchain based on InterPlanetary File System and modified bloom tree

A Survey on Secure Cloud-Based E-Health Systems

Personal Health Record Using Cloudcomputing Technology

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