Accountable privacy preserving attribute based framework for authenticated encrypted access in clouds

Belguith, Sana; Kaaniche, Nesrine; Laurent, Maryline; Jemai, Abderrazak; Attia, Rabah

doi:10.1016/j.jpdc.2019.08.014

Cited by 35 publications

(20 citation statements)

References 53 publications

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“…Thus, all processing of the CV data in the cloud must be continuously audited based on cybersecurity analysis, and appropriate cybersecurity mechanisms should be deployed to ensure accountability requirements are met [12], [51]. Various accountable privacy-preserving attribute-based schemes have been presented in [52]- [54] that can be adopted to fulfill the accountability requirement in cloud-supported CV applications.…”

Section: E Accountabilitymentioning

confidence: 99%

A Review on Cybersecurity of Cloud Computing for Supporting Connected Vehicle Applications

Salek

Khan

Rahman

et al. 2022

IEEE Internet Things J.

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In an internet-of-things (IoT) environment, cloud computing is emerging as a technologically feasible and economically viable solution for supporting real-time and nonreal-time connected vehicle (CV) applications due to its unlimited storage, enormous computing capabilities, and cost advantage, i.e., cloud computing costs less than owning such systems. However, maintaining cybersecurity is a major challenge in cloud-supported CV applications as it requires CVs and various transportation or non-transportation services to exchange data with the cloud via multiple wired and wireless communication networks, such as long-term evolution (LTE) and Wi-Fi. In this paper, we review the cybersecurity requirements of cloud-supported CV applications, such as confidentiality, integrity, availability, authentication, accountability, and privacy. Our review also identifies the associated cybersecurity challenges that might impact cloudsupported CV applications and corresponding solutions to these challenges. In addition, we present future research opportunities to prevent and mitigate cybersecurity issues in cloud computing for CV-related applications.

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Section: E Accountabilitymentioning

confidence: 99%

A Review on Cybersecurity of Cloud Computing for Supporting Connected Vehicle Applications

Salek

Khan

Rahman

et al. 2022

IEEE Internet Things J.

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“…In 2020, Sana et al 23 have proposed a privacy preserving approach termed as Ins‐PAbAC, which securely shared the outsourced data content through public cloud servers. The developed scheme presented numerous benefits.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Hash algorithm 22 ensures reduced memory usage with minimal execution time; however, it should cope up with insider threats. Ins‐PAbAC architecture is used in Reference 23 offers minimal time consumption with minimal communication cost. However, it needs exploration on decryption outsourcing models.…”

Section: Literature Reviewmentioning

confidence: 99%

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Hybrid optimization‐based privacy preservation of database publishing in cloud environment

Doss

Kamalakkannan

2022

Concurrency and Computation

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This work intends to introduce an optimization-based privacy preservation model via selecting the optimal key matrix. Here, privacy preservation is carried out under two processes, namely, "data sanitization and restoration." In fact, data sanitization is the data preservation method, where the data (message) are preserved using the optimal key. Similarly, data restoration is the inverse procedure of sanitization. Here, the key matrix is optimally chosen using a novel hybrid algorithm. For optimization purpose, this work deploys a hybrid optimization approach known as random-based grey dragon algorithm (R-GDA) that involves the concepts of both "dragonfly algorithm (DA) and grey wolf optimization (GWO) algorithm." The novelty of the work is introduced in hybrid optimization approach R-GDA. Eventually, the supremacy of the adopted method is validated over other existing approaches in terms of various measures such as privacy, utility, and so on. The privacy preservation in the cloud is achievable in the field of education, banking sector, military, and the research community.

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“…Most of the attribute based signcrytion schemes, such as [17,11,18,19], mainly suffer from high designcryption cost. This is generally due to the intensive mathematical computations and the complexity of access structures associated with ciphertexts or users' private keys.…”

Section: Constant Size Attribute Based Signcryptionmentioning

confidence: 99%

PROUD: Verifiable Privacy-preserving Outsourced Attribute Based SignCryption supporting access policy Update for cloud assisted IoT applications

Belguith

Kaaniche

Hammoudeh

et al. 2020

Future Generation Computer Systems

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The ever-growing number of Internet connected devices poses several cybersecurity risks. Most of the exchanged data between the Internet of Things (IoT) devices are not adequately secured due to resource constraints on IoT devices. Attribute Based SignCryption (ABSC) is a powerful cryptographic mechanism suitable for distributed environments, providing flexible access control and data secrecy. However, it imposes high designcryption costs, and does not support access policy update (user addition/revocation). This paper presents PROUD, an ABSC solution, to securely outsource data designcryption process to edge servers in order to reduce the computation overhead on the user side. PROUD allows end-users to offload most of the designcryption overhead to an edge server and verify the correctness of the received partially designcrypted data from the edge server. Moreover, PROUD provides the access policy update feature with neither involving a proxy-server, nor re-signcrypting the signcrypted message and redistributing the users' secret keys. The access policy update feature in PROUD does not affect the size of the message received by the end-user which reduces the bandwidth and the storage usage. Our comprehensive theoretical and experimental analysis prove that PROUD outperforms existing schemes in terms of functionality, communication and computation overhead.

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Accountable privacy preserving attribute based framework for authenticated encrypted access in clouds

Cited by 35 publications

References 53 publications

A Review on Cybersecurity of Cloud Computing for Supporting Connected Vehicle Applications

A Review on Cybersecurity of Cloud Computing for Supporting Connected Vehicle Applications

Hybrid optimization‐based privacy preservation of database publishing in cloud environment

PROUD: Verifiable Privacy-preserving Outsourced Attribute Based SignCryption supporting access policy Update for cloud assisted IoT applications

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