Toward Cross-Domain Dynamic Accumulator Authentication Based on Blockchain in Internet of Things

Wang, Linjie; Tian, Youliang; Zhang, Duo

doi:10.1109/tii.2021.3116049

Cited by 20 publications

(6 citation statements)

References 27 publications

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“…However, this paper does not provide a potential solution to incorporate the large number of IIoT devices. To solve the scalability and security problems in cross-domain networks various blockchain-based frameworks are proposed in [20] [21] [22] [23]. In [20] Wang et al proposed a scheme that addresses efficiency and security challenges in cross-domain IIoT by using edge servers to assist smart devices in achieving cross-domain authentication, while the lightweight message authentication algorithm guarantees message security with low computational overhead.…”

Section: A Security Protocols For Secure Data Sharingmentioning

confidence: 99%

“…To solve the scalability and security problems in cross-domain networks various blockchain-based frameworks are proposed in [20] [21] [22] [23]. In [20] Wang et al proposed a scheme that addresses efficiency and security challenges in cross-domain IIoT by using edge servers to assist smart devices in achieving cross-domain authentication, while the lightweight message authentication algorithm guarantees message security with low computational overhead. In [24] the author presented a lightweight authentication protocol based on ECC for faulttolerant wireless sensor networks.…”

Section: A Security Protocols For Secure Data Sharingmentioning

confidence: 99%

“…Total Computational Cost Approx Time [18] Blockchain 2Th + 5Tm + 4Te + 2Tv 1.92 ms [19] Non-Blockchain 14Th + 3Tm + 9Te 3.33 ms [20] Blockchain 8Th + 3Tm + 5Te + 3Tv 2.15 ms [21] Blockchain 3Th + 7Tm + 6Te + 3Tv 2.80 ms [22] Non-Blockchain 4Th + 8Tm + 6Te 2.84 ms [23] Non-Blockchain 9Th + 5Tm + 5Te 2.32 ms [24] Non-Blockchain 13Th + 2Tm + 8Te 2.89 ms [31] Non-Blockchain 12Th + 8Tm + 6Te 3.11 ms [34] Non-Blockchain 5Th + 2Tm + 9Te 2.93 ms Ours Blockchain 3Th + 3Tm + 4Te + 4Tv 1.64 ms Constants: Th = 0.03 ms, Tm = 0.13 ms, Te = 0.28 ms, Tv = 0.04 ms considerably low. Table 5 clearly describes the operations involved during the registration and authentication phases of our proposed protocol.…”

Section: Ref Platformmentioning

confidence: 99%

“…Fig. 6 shows that the communication overhead of [18], [19], [20], [21], [22], [23], [24], [25], [34], and [35]. The efficiency of the protocol proposed in [21] is best compared to our proposed protocol.…”

Section: ) Communication Overhead Analysismentioning

confidence: 99%

See 3 more Smart Citations

Optimizing Industrial IoT Data Security Through Blockchain-Enabled Incentive-Driven Game Theoretic Approach for Data Sharing

Sohail,

Anjum,

Saeed

et al. 2024

IEEE Access

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Connecting smart industrial components to computer networks revolutionizes business operations. However, in the Industrial Internet of Things (IIoT), the sharing of data has bandwidth, computational, and privacy issues. Researchers presented cloud computing and fine-grained access control to overcome these challenges. However, traditional centralized computing systems involve single points of failure. To mitigate these challenges, we have proposed a secure and incentive-based data-sharing framework for IIoT systems using blockchain technology. We leverage blockchain due to its ability to provide secure and tamper-resistant data storage and sharing as participants store their data on a distributed ledger (DL), preventing unauthorized access. A security protocol is designed that utilizes the properties of elliptic curve cryptography (ECC). Moreover, Shapley value is employed to calculate revenue and distribute it fairly. To perform the formal security evaluation, we have conducted extensive simulations using the Automated Validation of Internet Security Protocols and Applications (AVISPA) and Scyther protocol simulation tools, which demonstrated that our protocol is robust against various adversarial attacks. The experimental results show that the proposed incentive distribution framework demonstrated fairness in the distribution of revenue among participants.

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Section: A Security Protocols For Secure Data Sharingmentioning

confidence: 99%

Section: A Security Protocols For Secure Data Sharingmentioning

confidence: 99%

Section: Ref Platformmentioning

confidence: 99%

Section: ) Communication Overhead Analysismentioning

confidence: 99%

See 2 more Smart Citations

Optimizing Industrial IoT Data Security Through Blockchain-Enabled Incentive-Driven Game Theoretic Approach for Data Sharing

Sohail,

Anjum,

Saeed

et al. 2024

IEEE Access

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show abstract

“…This master-slave hierarchical structure has also been used to construct cross-domain trust access mechanisms [28] for power terminals, and improve the efficiency and data credibility for cross-domain IoT authentication [15]. In addition, Wang et al [29] leveraged undirected graph to build authentication relationships for IIoT devices. The digital signature and accumulator were combined to achieve the signature transitivity among different domains.…”

Section: B Blockchain-based Cross-domain Security Mechanismsmentioning

confidence: 99%

Efficient and Privacy-Preserving Blockchain-Based Multifactor Device Authentication Protocol for Cross-Domain IIoT

Zhang

et al. 2022

IEEE Internet Things J.

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Industrial Internet of Things (IIoT) has emerged as a prospective technology that improves the productivity and automation level for industrial applications. Devices from cooperative IIoT domains will communicate and collaborate on the increasingly complicated manufacturing tasks. To secure cross-domain device collaborations, we propose combining the blockchain with multi-factor authentication. Because the multifactor authentication conforms to IIoT devices' operation modes and brings higher security levels, and the blockchain technology contributes to building trust among different domains. However, this combined usage still has limitations in terms of the potential loss of factor attack, the storage overhead on the blockchain, and the contradiction between efficiency and privacy preservation. Motivated by these facts, in this paper, we develop a privacypreserving blockchain-based multi-factor device authentication protocol for cross-domain IIoT. Specifically, multiple factors are additionally encoded by the hardware fingerprint into random numbers, before being transformed into key materials. The blockchain only stores each domain's dynamic accumulator, which accumulates derived key materials for devices, thereby reducing the overhead. Moreover, the on-chain accumulator is leveraged to efficiently verify the unlinkable identities of crossdomain IIoT devices. The security of our protocol is formally proved, and the security features and functionalities are respectively discussed. A proof-of-concept prototype was implemented to prove the efficiency and reliability. The comparison results indicate that the on-chain storage is greatly reduced. Finally, the smart contract's performance was evaluated to show scalability.

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Privacy-Preserving Cross-Domain Authentication in Internet of Things

Huang,

Shen

2024

Wireless Networks

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Toward Cross-Domain Dynamic Accumulator Authentication Based on Blockchain in Internet of Things

Cited by 20 publications

References 27 publications

Optimizing Industrial IoT Data Security Through Blockchain-Enabled Incentive-Driven Game Theoretic Approach for Data Sharing

Optimizing Industrial IoT Data Security Through Blockchain-Enabled Incentive-Driven Game Theoretic Approach for Data Sharing

Efficient and Privacy-Preserving Blockchain-Based Multifactor Device Authentication Protocol for Cross-Domain IIoT

Privacy-Preserving Cross-Domain Authentication in Internet of Things

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