TFS-ABS: Traceable and Forward-Secure Attribute-Based Signature Scheme With Constant-Size

Kang, Zhaozhe; Li, Jiguo; Shen, Jian; Han, Jinguang; Zuo, Yuting; Zhang, Yichen

doi:10.1109/tkde.2023.3241198

Cited by 19 publications

(4 citation statements)

References 62 publications

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“…Kang et al introduced TFS-ABS, a traceable and forward-secure attribute-based signature scheme that maintains a consistent size. This scheme effectively tackles the security and efficiency issues commonly associated with attribute-based signature schemes [73]. Qu et al presented QB-IMD, a quantum blockchainbased system for processing medical data in the Internet of Medical Things (IoMT).…”

Section: Related Workmentioning

confidence: 99%

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: 99%

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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“…And in 2022, Yang Lu and Jiguo Li [47] proposed a lightweight PAEKS (public key authenticated encryption with keyword search) scheme which avoided the bilinear pairing operations. Similarly, there are other ABE-based cryptographic schemes [42], [46]. In 2022, Yuyan Guo et al [43] also designed a revocable blockchain-aided ABE with escrow-free system.…”

Section: Related Workmentioning

confidence: 99%

IPO-PEKS: Effective Inner Product Outsourcing Public Key Searchable Encryption From Lattice in the IoT

Wang,

Sun,

Cao

et al. 2024

IEEE Access

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Lightweight devices in the Internet of Things (IoT) typically need to store massive data on a cloud server with strong processing and storage capabilities for later retrieval and usage. Since these data contain the participant's sensitive information, they cannot be delivered directly to the cloud server. Public-key Encryption with Keyword Search (PEKS) allows customers to search for target encrypted files using keywords. However, the majority of PEKS implementations are unable to repel malicious quantumcapable attackers. And with regard to forward security, they must search for many rounds to obtain the necessary data. To resolve these concerns, we propose a comprehensive Inner Product Outsourcing PEKS system (IPO-PEKS) with forward security based on LWE assumptions, which raises search efficiency by allowing authorized clients to find the information they desire in a single round and achieves more finegrained searches. Furthermore, we offer an inner product outsourcing calculation technique that allows the server to compute the inner product result without knowing the details of both parties in order to conceal the relevant privacy data of transmitting and decryption states. The paradigm can be utilized for efficient state transition through the use of parallel computing to accomplish the target of one round of iteration.

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“…It is worth mentioning that both schemes [37] and [38] use the innerproduct functional encryption algorithm to train the datasets provided by multiple participants, while ensuring the security of the datasets. In addition, Kang et al [39] propose a traceable and forward-secure attribute-based signature scheme with constant-size. The highlight of this scheme is that it not only supports flexible threshold predicates, but also can track the authentic identity of signers with abusive signature behavior.…”

Section: B Application Of Cls In Vanetsmentioning

confidence: 99%

Traceable and Privacy-Preserving Authentication Scheme for Energy Trading in V2G Networks

Shen,

Xia,

et al. 2024

IEEE Internet Things J.

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TFS-ABS: Traceable and Forward-Secure Attribute-Based Signature Scheme With Constant-Size

Cited by 19 publications

References 62 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

IPO-PEKS: Effective Inner Product Outsourcing Public Key Searchable Encryption From Lattice in the IoT

Traceable and Privacy-Preserving Authentication Scheme for Energy Trading in V2G Networks

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