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Abstract

Today, the manner in which we communicate has greatly advanced. The technology is not just about machines, but people with technology together. Machine-to-machine (M2M) communication is unavoidable in the Internet of things. However, at the same time, there are more attacks against the M2M system. Therefore, a reliable and secure authentication mechanism is required. Blockchain technology is decentralized and highly secure while being tamper-proof. This protects M2M service providers by eliminating the single point of failures. This paper proposes a blockchain-based authentication scheme that uses a practical Byzantine fault tolerance (pBFT) consensus mechanism for M2M security in cyber physical systems. By implementing a blockchain to an M2M system, it provides an ID for devices on the blockchain. Simulation results have shown that the data on the chain cannot be altered. A pBFT consensus algorithm also ensures that the blockchain network is able to come to a consensus with faults.

Keywords

Machine-to-machine communication blockchain pBFT consensus algorithm

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References

Cardenas

S.A.A.S.S.A.A.

, Secure control: towards survivable cyber-physical systems, in IEEE 28th International Conference on Distributed Computing Systems, 2008.

Yuchen Zhang

W.D.A.F.W.

, Architecture and real-time characteristics analysis of the cyber-physical system, in IEEE 3rd International Conference on Communication Software and Networks (ICCSN), 2011.

Min Chen

J.W.A.F.L.

, Machine-to-machine communications: architectures, standards, and applications, 2012.

Chen Hongsong

F.Z.A.Z.D.

, Security and trust research in M2M system, in IEEE International Conference on Vehicular Electronics and Safety (ICVES), 2011.

Rongxing Lu

X.L.X.L.X.S.A.X.L.

, GRS: the green, reliability, and security of emerging machine to machine communications, 2011.

Sachin Agarwal

C.P.R.B.A.J.-P.S.

, Operator-based overthe-air M2M wireless sensor network security, in 14th International Conference on Intelligence in Next Generation Networks, 2010.

Tien-Dung Nguyen

A.A.-S.A.E.-N.H.

, Adynamic ID-based authentication scheme, in Sixth International Conference on Networked Computing and Advanced Information Management, 2010.

Sun

S.M.C.Z.A.Z.Z.X.

, A security authentication scheme in machine-to- machine home network service, in Security Comm Networks, 2012.

Wei Ren

L.Y.L.M.A.Y.R.

, How to Authenticate a Device? Formal Authentication Models for M2M Communications Defending against Ghost Compromising Attack, International Journal of Distributed Sensor Networks, 2013.

10.

Kim

H.-Y.J.A.B.-H.H.J.-M.

, A study of privacy problem solving using device and user authentication for M2M environments, 2013.

11.

Shuo Chen

Z.L.

, An authentication scheme with identity-based cryptography for M2M security in cyber-physical systems, july 2016. [Online]. Available: https://www.researchgate.net/publication/9_An_authentication_scheme_with_identity-based_cryptography_for_M2M_security_in_cyber-physical_systems. [Accessed 1 Oct 2019].

12.

Zhen

, An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends, june 2017. [Online]. Available: https://www.researchgate.net/publication/8_An_Overview_of_Blockchain_Technology_Architecture_Consensus_and_Future_Trends.

13.

Konash

, coinspeaker, 29 june 2018. [Online]. Available: https://www.coinspeaker.com/2018/06/29/blockchain-poised-to-boost-speed-of-financial-transactions/. [Accessed 2 October 2019].

14.

Harish Sukhwani

J.M.M.X.C.K.S.T.A.A.R.

, Performance Modeling of PBFT Consensus Process for Permissioned Blockchain Network, in 2017 IEEE 36th Symposium on Reliable Distributed Systems (SRDS), 2017.

A blockchain-based authentication scheme for the machine-to-machine communication of a cyber physical system

Abstract

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