Secure Data Storage and Recovery in Industrial Blockchain Network Environments

Liang, Wei; Fan, Yujie; Li, Kuan‐Ching; Zhang, Dafang; Gaudiot, Jean‐Luc

doi:10.1109/tii.2020.2966069

Cited by 222 publications

(75 citation statements)

References 20 publications

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“…As future work, we intend to design and assess the configuration parameter’s standard values of MOTP and shorten the length of the OTP while ensuring the same security level [ 27 ], as well as investigate techniques for resource protection and recovery [ 28 , 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

An Efficient Two-Factor Authentication Scheme Based on the Merkle Tree

Yin

Guo

et al. 2020

Sensors

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The Time-based One-Time Password (TOTP) algorithm is commonly used for two-factor authentication. In this algorithm, a shared secret is used to derive a One-Time Password (OTP). However, in TOTP, the client and the server need to agree on a shared secret (i.e., a key). As a consequence, an adversary can construct an OTP through the compromised key if the server is hacked. To solve this problem, Kogan et al. proposed T/Key, an OTP algorithm based on a hash chain. However, the efficiency of OTP generation and verification is low in T/Key. In this article, we propose a novel and efficient Merkle tree-based One-Time Password (MOTP) algorithm to overcome such limitations. Compared to T/Key, this proposal reduces the number of hash operations to generate and verify the OTP, at the cost of small server storage and tolerable client storage. Experimental analysis and security evaluation show that MOTP can resist leakage attacks against the server and bring a tiny delay to two-factor authentication and verification time.

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Section: Discussionmentioning

confidence: 99%

An Efficient Two-Factor Authentication Scheme Based on the Merkle Tree

Yin

Guo

et al. 2020

Sensors

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“…Meanwhile, a three-stage Stackelberg game was used to investigate the interaction among the users, base stations and video providers. Moreover, the work [113] exploited the merits of blockchain such as antitempering and decentralisation to achieve the fast repairing of data storage nodes in IIoT environment.…”

Section: Computing Layermentioning

confidence: 99%

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

Dai

Wang

2021

IEEE Internet Things J.

226

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Critical infrastructure systems are vital to underpin the functioning of a society and economy. Due to ever-increasing number of Internet-connected Internet-of-Things (IoTs) / Industrial IoT (IIoT), and high volume of data generated and collected, security and scalability are becoming burning concerns for critical infrastructures in industry 4.0. The blockchain technology is essentially a distributed and secure ledger that records all the transactions into a hierarchically expanding chain of blocks. Edge computing brings the cloud capabilities closer to the computation tasks. The convergence of blockchain and edge computing paradigms can overcome the existing security and scalability issues. In this paper, we first introduce the IoT/IIoT critical infrastructure in industry 4.0, and then we briefly present the blockchain and edge computing paradigms. After that, we show how the convergence of these two paradigms can enable secure and scalable critical infrastructures. Then, we provide a survey on state-of-the-art for security and privacy, and scalability of IoT/IIoT critical infrastructures. A list of potential research challenges and open issues in this area is also provided, which can be used as useful resources to guide future research.

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“…The blockchain network has a tamper-proof environment. The transaction of any digital capital is verified by real participants or miners [12]. The blockchain system can use encryption methods to link the transaction data blocks for retrospective and immutable records.…”

Section: Related Workmentioning

confidence: 99%

Secure Digital Certificate-Based Data Access Control Scheme in Blockchain

et al. 2020

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Previous contract protocols in blockchains ensure their fairness and traceability by utilizing centralized credible nodes. If credible nodes are dishonest or conspire with the signatory, then other nodes are compromised. Meanwhile, the leakage of sensitive information of participant nodes poses a serious threat to the privacy security of data access in blockchains. To address this issue, this study proposes a secure control method of digital certificate-based data access in blockchains. The proposed method combines blockchain and digital certificate technologies and designs a secure authentication protocol for privacy data in blockchains without verifying the encrypted identity signature of the third-party participant. The highefficiency network forwarding protocol proposed in this work can support the fair contract signing of multiple signers via blockchain. This protocol can protect the privacy of contracts and identities of participants. Experimental results show that the proposed scheme is superior in terms of communication overhead, storage overhead, and detection rate.

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Secure Data Storage and Recovery in Industrial Blockchain Network Environments

Cited by 222 publications

References 20 publications

An Efficient Two-Factor Authentication Scheme Based on the Merkle Tree

An Efficient Two-Factor Authentication Scheme Based on the Merkle Tree

Convergence of Blockchain and Edge Computing for Secure and Scalable IIoT Critical Infrastructures in Industry 4.0

Secure Digital Certificate-Based Data Access Control Scheme in Blockchain

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