Multiauthority Attribute-Based Encryption for Assuring Data Deletion

Li, Jiguo; Zhang, Ruyuan; Lu, Yang; Han, Jinguang; Zhang, Yichen; Zhang, Wenzheng; Dong, Xiang

doi:10.1109/jsyst.2022.3208149

Cited by 13 publications

(6 citation statements)

References 55 publications

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“…The first is a multiauthority attribute-based encryption system that ensures secure data deletion. The second is a flexible and precise solution for attribute-based data storage in cloud computing [77][78][79]. These contributions demonstrate progress in data security, encryption, and access control mechanisms.…”

Section: Related Workmentioning

confidence: 94%

A Novel Quantum Hash-Based Attribute-Based Encryption Approach for Secure Data Integrity and Access Control in Mobile Edge Computing-Enabled Customer Behavior Analysis

Singamaneni,

Muhammad,

Ali

2024

IEEE Access

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The domain of Mobile Edge Computing (MEC) has seen rapid growth, making consumer behavior research an essential element in many applications. Nevertheless, in MEC systems that are decentralized and have limited resources, challenges arise in ensuring both data integrity and access control. This paper introduces a new technique called Quantum Hash-Based Attribute-Based Encryption (QH-ABE) to address these issues. Previously, there were several methods available to guarantee data integrity and access control in MEC. However, these systems had limits in managing large and intricate datasets, lacked a standardized protocol for revocation, and incurred significant computational cost. We were prompted by these restrictions to suggest a more efficient technique, which included the use of the QH-ABE method in our study. The suggested solution integrates hash functions with quantum computing concepts to enhance security and control access in MEC-enabled consumer behavior research. The suggested technique provides several benefits compared to traditional hash algorithms by using hash functions. In this technique, we introduce a Recursive Non-Linear Polynomial graph-centered Integrity Algorithm (RNLPIA). RNLPIA enhances security by thwarting covert alterations to data and guaranteeing tamper-evident measures via the generation of unique hash values derived from the content of the data. The suggested method's efficacy and efficiency are proved by a comprehensive experimental assessment, highlighting its capability to fulfill the data integrity and access control needs of MEC situations. The performance of our technology showcases its potential and paves the way for using quantum computing technologies for accessing control and data security. This work contributes to the progress of privacy-preserving, secure analysis of consumer behavior in the dynamic MEC environment.INDEX TERMS Access control, Attribute-based encryption (ABE), Customer behavior analysis, Data integrity and security, Mobile edge computing (MEC), Quantum key distribution.

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Section: Related Workmentioning

confidence: 94%

A Novel Quantum Hash-Based Attribute-Based Encryption Approach for Secure Data Integrity and Access Control in Mobile Edge Computing-Enabled Customer Behavior Analysis

Singamaneni,

Muhammad,

Ali

2024

IEEE Access

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“…Keys are generated collaboratively by users and the blockchain, thus preventing the latter from obtaining them alone. Alternatively, multi-authority solutions can be used to securely delete data in cloud [48], where data sharing policies can be a challenging issue.…”

Section: Related Work a Security Services For Cloud Systemsmentioning

confidence: 99%

Attribute-Based Management of Secure Kubernetes Cloud Bursting

Femminella,

Palmucci,

Reali

et al. 2024

IEEE Open J. Commun. Soc.

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In modern cloud computing, the need for flexible and scalable orchestration of services, combined with robust security measures, is paramount. In this paper, we propose an innovative approach for managing secure cloud bursting in Kubernetes, combining Attribute-Based Encryption (ABE) with Kubernetes labeling. Our model addresses the challenges of complexity, cost, and data protection compliance by leveraging both Kubernetes and ABE. We introduce an attribute-based bursting component that uses Kubernetes labels for orchestration, and an encryption component that employs ABE for data protection. This unified management model ensures data confidentiality while enabling efficient cloud bursting. Our approach combines the strengths of label-based orchestration with fine-grained encryption, providing a technologically advanced yet user-friendly solution for secure cloud bursting. We present a proof-of-concept implementation that demonstrates the feasibility and effectiveness of our model. Our approach offers a unified solution that complies with security and privacy laws while meeting the needs of contemporary cloud-based systems.

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“…Limited by the computing resources of the data owner, this solution may leave an empty window in the face of high concurrency. In 2022, Li et al 32 designed a multi‐authority attribute‐based encryption assured deletion scheme, which is based on CP‐ABE and uses multiple attribute servers to make the scheme closer to real application scenarios and improve security, but accordingly leads to a significant increase in the computational and communication costs of the scheme.…”

Section: Related Workmentioning

confidence: 99%

Fine‐grained assured insertion and deletion scheme based on onion encryption in cloud storage

Tian,

Tian

2023

Concurrency and Computation

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SummaryWith the current explosion of data volume and the rapid development of cloud computing, cloud storage is one of the most important services of cloud computing. It greatly reduces the cost of users and improves the convenience of use, but the separation of data control and ownership has led to a series of security problems. This article proposes a fine‐grained assured deletion scheme based on onion encryption (ADOE) to ensure the security of user data and achieve assured deletion of data. In the past, the solution was limited by the credibility of the third party, and due to the limitation of the administrator's computing power, there would be a window period for processing high concurrency. In this article, the third party is abandoned, and most of the work is handed over to the CSP. Through multilayer encryption of data and role‐based access control, flexible and fine‐grained access and deletion are realized. At the same time, with this scheme, Merkle hash tree (MHT) is improved, and a new data verification structure Merkle index hash tree (MIHT) is designed to quickly retrieve data blocks and provide deletion proof. Finally, through experimental comparison and theoretical demonstration, it is proved that ADOE is a safe, efficient, and usable solution.

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Multiauthority Attribute-Based Encryption for Assuring Data Deletion

Cited by 13 publications

References 55 publications

A Novel Quantum Hash-Based Attribute-Based Encryption Approach for Secure Data Integrity and Access Control in Mobile Edge Computing-Enabled Customer Behavior Analysis

A Novel Quantum Hash-Based Attribute-Based Encryption Approach for Secure Data Integrity and Access Control in Mobile Edge Computing-Enabled Customer Behavior Analysis

Attribute-Based Management of Secure Kubernetes Cloud Bursting

Fine‐grained assured insertion and deletion scheme based on onion encryption in cloud storage

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