A new verifiable outsourced ciphertext-policy attribute based encryption for big data privacy and access control in cloud

Premkamal, Praveen Kumar; Pasupuleti, Syam Kumar; Alphonse, P. J. A.

doi:10.1007/s12652-018-0967-0

Cited by 52 publications

(15 citation statements)

References 34 publications

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“…On account of the low efficiency in decryption, many researchers proposed outsourced CP-ABE, such as [21][22][23][24][25][26][27]. These schemes offload most of the complex computation in decryption to third party, such as cloud and fog node, to save cost for resource-poor devices.…”

Section: Related Workmentioning

confidence: 99%

Enabling efficient traceable and revocable time-based data sharing in smart city

Zhang

Jiang

et al. 2022

J Wireless Com Network

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With the assistance of emerging techniques, such as cloud computing, fog computing and Internet of Things (IoT), smart city is developing rapidly into a novel and well-accepted service pattern these days. The trend also facilitates numerous relevant applications, e.g., smart health care, smart office, smart campus, etc., and drives the urgent demand for data sharing. However, this brings many concerns on data security as there is more private and sensitive information contained in the data of smart city applications. It may incur disastrous consequences if the shared data are illegally accessed, which necessitates an efficient data access control scheme for data sharing in smart city applications with resource-poor user terminals. To this end, we proposes an efficient traceable and revocable time-based CP-ABE (TR-TABE) scheme which can achieve time-based and fine-grained data access control over large attribute universe for data sharing in large-scale smart city applications. To trace and punish the malicious users that intentionally leak their keys to pursue illicit profits, we design an efficient user tracing and revocation mechanism with forward and backward security. For efficiency improvement, we integrate outsourced decryption and verify the correctness of its result. The proposed scheme is proved secure with formal security proof and is demonstrated to be practical for data sharing in smart city applications with extensive performance evaluation.

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Section: Related Workmentioning

confidence: 99%

Enabling efficient traceable and revocable time-based data sharing in smart city

Zhang

Jiang

et al. 2022

J Wireless Com Network

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“…Premkamal et al [19] have developed a novel CP-ABE for the access control and privacy of big data. Their scheme minimizes the computation overhead of decryption and encryption by outsourcing large computations.…”

Section: Literature Reviewmentioning

confidence: 99%

Repeated Attribute Optimization for Big Data Encryption

Alameen¹

2022

Computer Systems Science and Engineering

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Big data denotes the variety, velocity, and massive volume of data. Existing databases are unsuitable to store big data owing to its high volume. Cloud computing is an optimal solution to process and store big data. However, the significant issue lies in handling access control and privacy, wherein the data should be encrypted and unauthorized user access must be restricted through efficient access control. Attribute-based encryption (ABE) permits users to encrypt and decrypt data. However, for the policy to work in practical scenarios, the attributes must be repeated. In the case of specific policies, it is not possible to avoid attribute repetition even after the application of Boolean optimization approaches to obtain a Boolean formula. For these policies, there exists a variety of evaluated secret shares for the repeated attributes. Therefore, the calculation of cipher text for these irreducible policies seems to be lengthy and computationally intensive. To address this problem, an improved meta-heuristic-based repeated attributes optimization on cipher-text policy-ABE (CP-ABE) is developed in this study.Here, the improved meta-heuristic concept is developed in the encryption phase, which returns the optimized single share value of each repeated attribute after considering all the attribute shares. The optimization process not only minimizes the encryption cost but also the communication cost. Herein, the improved sun flower optimization (SFO), called the newly updated SFO (NU-SFO) is used to perform the repeated attribute optimization in CP-ABE. Finally, the performance evaluation confirms the reliability and robustness of the developed scheme through comparisons with traditional constructions.

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“…Later, different types of access structures for CP-ABE [16][17][18] were introduced. Outsourced CP-ABE schemes [13][14][15] and short ciphertext and fast decryption [6][7][8][9][10][11][12] schemes were proposed to improve the efficiency. Furthermore, to improve the CP-ABE scheme security, policy privacy and revocation [19][20][21][22][23][24][25][26][27] schemes were presented.…”

Section: Related Workmentioning

confidence: 99%

Dynamic traceable CP‐ABE with revocation for outsourced big data in cloud storage

Premkamal

Pasupuleti

Alphonse

2020

Int J Communication

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Summary Ciphertext‐policy attribute‐based encryption (CP‐ABE) is the recommended best practice for outsourced big data access control in the cloud environment. However, most of the existing CP‐ABE schemes do not address the issue of tracing and revoking the malicious user who leaks the secret key for profit, which in turn reduces the security of the CP‐ABE schemes. In this paper, we propose a dynamic traceable CP‐ABE with revocation (DTCP‐ABE) for outsourced big data in cloud storage. DTCP‐ABE scheme dynamically traces who decrypts the ciphertext during the outsourced decryption process, which helps to find the malicious user who leaks the secret key. Our scheme also automatically revokes the malicious users once they are identified. We prove that our scheme is secure against chosen‐plaintext, secret key forging, user collision, and proxy attacks. Furthermore, our scheme also achieves backward revocation security. Performance evaluation proves that our DTCP‐ABE scheme is efficient than other existing schemes.

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A new verifiable outsourced ciphertext-policy attribute based encryption for big data privacy and access control in cloud

Cited by 52 publications

References 34 publications

Enabling efficient traceable and revocable time-based data sharing in smart city

Enabling efficient traceable and revocable time-based data sharing in smart city

Repeated Attribute Optimization for Big Data Encryption

Dynamic traceable CP‐ABE with revocation for outsourced big data in cloud storage

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