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A new method for producing 320-bit modified hash towards tamper detection and restoration in colour images

  • 1163: Large-scale multimedia signal processing for security and digital forensics
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Abstract

Image sharing in open and public communication infrastructure is vulnerable. There are several solutions articulated by worldwide researchers for secure image transmission. However, with the increasing computing capacity and capability, the currently available security solutions are being breached. This yearns for more robust solutions. The significant contribution of the proposed work involves in the generation of a new hash algorithm for the entire RGB image of size 256 × 256 with no Region of Interest (RoI) restriction. This paper mainly focuses on integrity verification, tamper detection, localisation of the tampered area and its restoration. The whole image is considered as sensitive data for which one-way integrity verification code is generated block-wise to locate the areas of tampering. Integrity validation phase will compare the received digest and generated the digest from the received image. Blocks which are failed to pass in integrity validation will undergo the recovery process.

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Acknowledgements

Authors thank Department of Science & Technology, New Delhi for the FIST funding (SR/FST/ET-II/2018/221). Also, Authors wish to thank the Intrusion Detection Lab at School of Electrical & Electronics Engineering, SASTRA Deemed University for providing infrastructural support to carry out this research work.

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Authors and Affiliations

  1. ECE Department, School of EEE, SASTRA Deemed University, Thanjavur, 613401, India

    Nithya Chidambaram, K. Thenmozhi & Rengarajan Amirtharajan

  2. SRE Division, Reliance Jio Info comm. Ltd. (RJIL), Bangalore, 560025, India

    Pethuru Raj

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  1. Nithya Chidambaram
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  2. Pethuru Raj
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  3. K. Thenmozhi
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  4. Rengarajan Amirtharajan
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Correspondence to Rengarajan Amirtharajan.

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Chidambaram, N., Raj, P., Thenmozhi, K. et al. A new method for producing 320-bit modified hash towards tamper detection and restoration in colour images. Multimed Tools Appl 80, 23359–23375 (2021). https://doi.org/10.1007/s11042-020-10210-2

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  • DOI: https://doi.org/10.1007/s11042-020-10210-2

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