Comparative study on attribute-based encryption for health records in cloud storage

Mhatre, Siddhesh; Nimkar, Anant V.; Dhage, Sudhir

doi:10.1109/rteict.2017.8256677

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…Mhatre et al 8 had studied the comparative analysis of ABE technique for healthcare application in cloud. Here this healthcare framework is created for data security in cloud storage.…”

Section: Literature Surveymentioning

confidence: 99%

Enhanced attribute based encryption technique for secured access in cloud storage for personal health records

Saravanan

Umamakeswari

2022

Concurrency and Computation

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Recent development of medical information technology uses personal health record (PHR) system, which allows the patients to create, store and share their own health information with doctors, nurses, health insurance providers, and family members.However, it has the security and privacy issues. The secret key generation is the major task by performing different algorithms on attribute based encryption (ABE) technique. This method helps to identify the trusted authority using secret key verification on the decryption process. The revocation scheme is performed to reduce the attributes for improving the performance. The drawback of existing method is overcome by the proposed system in which the PHR file is securely accessed by performing enhanced encryption and decryption of ABE technique. Here the matrix based lattice algorithm is proposed with bit plane transformation of decomposition matrices. Attribute reduction and secret key encryption is performed to improve the result of reliability, security, and scalability. The plain text is created to cipher text as key and it holds the encrypted PHR file on the cloud storage, which is retrieved only by the trusted authority. The proposed method is analyzed and compared with the existing work and achieves greater results than most of the recent related literature.

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“…Mhatre et al 8 had studied the comparative analysis of ABE technique for healthcare application in cloud. Here this healthcare framework is created for data security in cloud storage.…”

Section: Literature Surveymentioning

confidence: 99%

Enhanced attribute based encryption technique for secured access in cloud storage for personal health records

Saravanan

Umamakeswari

2022

Concurrency and Computation

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“…A general review and discussion on ABE in securing cloud application Qiao et al [6] √ General application General Comparison of ABE features and quantum-based ABE literature limited to 3 articles Liu et al [7] × Cloud data storage A detailed technical review for each selected ABE scheme, however, limited to 4 articles Mhatre et al [8] × Health records in cloud storage A very general non-technical review and literature limited to 13 articles Rachman [9] × File Storage in the cloud A very brief non-technical survey and literature limited to 8 articles Edemacu et al [10] × Collaborative eHealth A detailed technical review on bilinear pairing-based ABE Al-Dahhan et al [11] × General cloud application A general review of single and multi-authority CP-ABE schemes Sun [12] × General cloud application A detailed technical review on ABE and searchable encryption Zhang et al [2] × Cloud Storage application A technical review on (ABE) for cloud computing access control Oberko et al [4] × General application Focus on Multi-Authority Attribute-based encryption (MA-ABE) schemes.…”

Section: Yearmentioning

confidence: 99%

“…Previous surveys scoped their application scenario in controlling access to cloud computing platforms or cloud [2,5,[7][8][9]11,12], whereas Edemacu et al [10] focused ABE on securing collaborative eHealth. Most of the surveys [5,6,8,9,11,13,14] generally touched on the general features of attribute-based encryption schemes such as user revocation, scalability, flexibility, data confidentiality, etc. and lacked a technical review and comparison of the ABE algorithm design.…”

Section: Yearmentioning

confidence: 99%

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

2022

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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.

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“…Mekala et al [38] proposed a homomorphic encryption technique for healthcare multicloud computing which uses the Dynamo DB and Amazon Web Services (AWS). Mhatre et al [39] compared attribute-based encryption for health records in cloud storage. They proposed multiauthority attribute-based encryption and provided an adequate, effective, and expressive solution to health record security problems.…”

Section: Related Work On Cryptographic Algorithmmentioning

confidence: 99%

Secure Data Encryption for Cloud-Based Human Care Services

et al. 2018

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Sensor network services utilize sensor data from low-end IoT devices of the types widely deployed over long distances. After the collection of sensor data, the data is delivered to the cloud server, which processes it to extract useful information. Given that the data may contain sensitive and private information, it should be encrypted and exchanged through the network to ensure integrity and confidentiality. Under these circumstances, a cloud server should provide high-speed data encryption without a loss of availability. In this paper, we propose efficient parallel implementations of Simeck family block ciphers on modern 64-bit Intel processors. In order to accelerate the performance, an adaptive encryption technique is also exploited for load balancing of the resulting big data. Finally, the proposed implementations achieved 3.5 cycles/byte and 4.6 cycles/byte for Simeck32/64 and Simeck64/128 encryption, respectively.

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Comparative study on attribute-based encryption for health records in cloud storage

Cited by 7 publications

References 12 publications

Enhanced attribute based encryption technique for secured access in cloud storage for personal health records

Enhanced attribute based encryption technique for secured access in cloud storage for personal health records

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

Secure Data Encryption for Cloud-Based Human Care Services

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