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author:

Guo, Xiaodong (Guo, Xiaodong.) [1] | Lyu, Chenxi (Lyu, Chenxi.) [2] | Chen, Zhenyi (Chen, Zhenyi.) [3] | Wang, Xiaoding (Wang, Xiaoding.) [4] | Bao, Ruishen (Bao, Ruishen.) [5] | Dong, Chen (Dong, Chen.) [6] (Scholars:董晨)

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Abstract:

As a next-generation digital microfluidic biochip (DMFB) platform, micro-electrode-dot -array (MEDA) play an important role in the biochemical industry with more advanced fluidic manipulation and higher reliability. As the MEDA biochip market has grown by leaps and bounds, there are still some issues with MEDA that have not kept pace in terms of security. One of them is that an attacker of a MEDA biochip can change the protocol parameters by tampering with the actuation sequence (AS) in the field before performing the bioassay, which can lead to catastrophic consequences. The attackers could be untrustworthy third parties introduced by the distributed supply chain and malicious remote parties at the time of cyber-physical MEDA biochip deployment. In this paper, a two-layer authentication solution for AS tampering attack detection is proposed, based on SHA-256 hash function to ensure the security of the authentication process and at the same time, it is able to detect and locate the tampered AS with simplicity, security and efficiency. Experiments demonstrate the obvious advantages in security, performance and applicability within a controllable time complexity. © 2023 ACM.

Keyword:

Authentication Biochips Cybersecurity Digital microfluidics Electrodes Hash functions Supply chains

Community:

  • [ 1 ] [Guo, Xiaodong]Fuzhou University, Fujian, Fuzhou, China
  • [ 2 ] [Lyu, Chenxi]Fuzhou University, Fujian, Fuzhou, China
  • [ 3 ] [Chen, Zhenyi]University of South Florida, Tampa; FL, United States
  • [ 4 ] [Wang, Xiaoding]Fuzhou University, Fujian, Fuzhou, China
  • [ 5 ] [Bao, Ruishen]Fuzhou University, Fujian, Fuzhou, China
  • [ 6 ] [Dong, Chen]Fuzhou University, Fujian, Fuzhou, China

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Year: 2023

Page: 106-111

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 4

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