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An Image Authentication Scheme Using Merkle Tree Mechanisms

Author

Listed:
  • Yi-Cheng Chen

    (Department of Computer Science and Information Engineering (CSIE), Asia University, No. 500, Liufeng Road, Wufeng District, Taichung City 41354, Taiwan)

  • Yueh-Peng Chou

    (Department of Computer Science and Information Engineering (CSIE), Asia University, No. 500, Liufeng Road, Wufeng District, Taichung City 41354, Taiwan)

  • Yung-Chen Chou

    (Department of Computer Science and Information Engineering (CSIE), Asia University, No. 500, Liufeng Road, Wufeng District, Taichung City 41354, Taiwan)

Abstract

Research on digital image processing has become quite popular and rapid in recent years, and scholars have proposed various image verification mechanisms. Similarly , blockchain technology has also become very popular in recent years. This paper proposes a new image verification mechanism based on the Merkle tree technique in the blockchain. The Merkle tree root in the blockchain mechanism provides a reliable environment for storage of image features. In image verification, the verification of each image can be performed by the Merkle tree mechanism to obtain the hash value of the Merkle tree node on the path. In addition, the method combines the Inter-Planetary File System (IPFS) to improve the availability of images. The main purpose of this paper is to achieve the goal of image integrity verification. The proposed method can not only verify the integrity of the image but also restore the tampered area in the case of image tampering. Since the proposed method employs the blockchain mechanism, the image verification mechanism does not need third party resources . The verification method is performed by each node in the blockchain network. The experimental results demonstrate that the proposed method successfully achieved the goal of image authentication and tampered area restoration.

Suggested Citation

  • Yi-Cheng Chen & Yueh-Peng Chou & Yung-Chen Chou, 2019. "An Image Authentication Scheme Using Merkle Tree Mechanisms," Future Internet, MDPI, vol. 11(7), pages 1-18, July.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:7:p:149-:d:246210
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    Citations

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    Cited by:

    1. Büyüközkan, Gülçin & Tüfekçi, Gizem & Uztürk, Deniz, 2021. "Evaluating Blockchain requirements for effective digital supply chain management," International Journal of Production Economics, Elsevier, vol. 242(C).
    2. Byeongtae Ahn, 2022. "Implementation and Early Adoption of an Ethereum-Based Electronic Voting System for the Prevention of Fraudulent Voting," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    3. Jin Woo Jung & Md. Mainul Islam & Hoh Peter In, 2024. "Proof of Work with Random Selection (PoWR): An Energy Saving Consensus Algorithm with Proof of Work and the Random Selection Function," Sustainability, MDPI, vol. 16(21), pages 1-27, October.
    4. Ashkan Pakseresht & Sina Ahmadi Kaliji & Vilma Xhakollari, 2022. "How Blockchain Facilitates the Transition toward Circular Economy in the Food Chain?," Sustainability, MDPI, vol. 14(18), pages 1-22, September.

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