BSeIn: A blockchain-based secure mutual authentication with fine-grained access control system for industry 4.0

Lin, Chao; He, Debiao; Huang, Xinyi; Choo, Kim‐Kwang Raymond; Vasilakos, Athanasios V.

doi:10.1016/j.jnca.2018.05.005

Cited by 356 publications

(203 citation statements)

References 16 publications

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“…TrustChain protocol [40] Overlay attack -Every transaction is embedded with a Time-Stamp to mark the uniqueness Wang et al's protocol [41] Double-spending attack -Multi signatures and anonymous encrypted message propagation streams Aitzhan and Svetinovic's protocol [22] -Time-Stamp and the Proof-of-Work mechanism Wang et al's protocol [41] Modification attack -Elliptic curve encryption is used to calculate the hash functions LNSC protocol [10] -The attribute signature and the MAC BSeIn protocol [39] Collusion attack -Blockchain-based incentive mechanism He et al's protocol [42] Whitewashing attack -Lower priorities are given to the agents of new identities TrustChain protocol [40] Quantum attack -Lattice-based signature scheme Yin et al's protocol [43] Man-in-the-middle attack -Elliptic curve encryption is used to calculate the hash functions LNSC protocol [10] -Secure mutual authentication BSeIn protocol [39] Sybil attack -An immutable chain of temporally ordered interactions is created for each agent TrustChain protocol [40] et al [20] introduced a monitoring system on Smart Grid, named GridMonitoring, for ensuring transparency, provenance, and immutability. The GridMonitoring system is based on four layers, namely, 1) Registration and authentication layer, 2) Smart meter, 3) Processing and consensus nodes, and 4) Data processing on the smart grid network.…”

Section: Internet Of Energymentioning

confidence: 99%

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Ferrag

Derdour

Mukherjee

et al. 2019

IEEE Internet Things J.

588

253

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This paper presents a comprehensive survey of the existing blockchain protocols for the Internet of Things (IoT) networks. We start by describing the blockchains and summarizing the existing surveys that deal with blockchain technologies. Then, we provide an overview of the application domains of blockchain technologies in IoT, e.g, Internet of Vehicles, Internet of Energy, Internet of Cloud, Fog computing, etc. Moreover, we provide a classification of threat models, which are considered by blockchain protocols in IoT networks, into five main categories, namely, identity-based attacks, manipulationbased attacks, cryptanalytic attacks, reputation-based attacks, and service-based attacks. In addition, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods towards secure and privacy-preserving blockchain technologies with respect to the blockchain model, specific security goals, performance, limitations, computation complexity, and communication overhead. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the blockchain technologies for IoT.

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Section: Internet Of Energymentioning

confidence: 99%

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Ferrag

Derdour

Mukherjee

et al. 2019

IEEE Internet Things J.

588

253

View full text Add to dashboard Cite

show abstract

“…The proposed method helps carry out appropriate attack mitigation measures. In [360], the authors establish a secure remote user authentication with finegrained access control for IIoT, by proposing a blockchainbased framework. The proposed framework leverages the underpinning characteristics of blockchain as well as several cryptographic materials to realize a decentralized, privacypreserving solution.…”

Section: Computation and Data Analytics Articlesmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

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“…It can be used in blockchain to provide integrity of smart contracts or network data. A blockchain-based system for secure mutual authentication (BSeIn) [189] uses MAC for the authentication.…”

Section: Other Techniquesmentioning

confidence: 99%

SoK of Used Cryptography in Blockchain

2019

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The underlying fundaments of blockchain are cryptography and cryptographic concepts that provide reliable and secure decentralized solutions. Although many recent papers study the use-cases of blockchain in different industrial areas, such as finance, health care, legal relations, IoT, information security, and consensus building systems, only few studies scrutinize the cryptographic concepts used in blockchain. To the best of our knowledge, there is no Systematization of Knowledge (SoK) that gives a complete picture of the existing cryptographic concepts which have been deployed or have the potential to be deployed in blockchain. In this paper, we thoroughly review and systematize all cryptographic concepts which are already used in blockchain. Additionally, we give a list of cryptographic concepts which have not yet been applied but have big potentials to improve the current blockchain solutions. We also include possible instantiations of these cryptographic concepts in the blockchain domain. Last but not least, we explicitly postulate 21 challenging problems that cryptographers interested in blockchain can work on.

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BSeIn: A blockchain-based secure mutual authentication with fine-grained access control system for industry 4.0

Cited by 356 publications

References 16 publications

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Blockchain Technologies for the Internet of Things: Research Issues and Challenges

Data Management in Industry 4.0: State of the Art and Open Challenges

SoK of Used Cryptography in Blockchain

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