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Secured image storage and transmission technique suitable for IoT using Tangle and a novel image encryption technique

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Abstract

In the recent years, there has been tremendous growth in the use of IoT based applications. It is making its footprint strong with day to day life uses as well as industrial uses. IoT has vast applications ranging from medical, automobile industry, daily task automation, security surveillance and a lot more. Surveillance based IoT system shares images over internet for information exchange between filed experts and technical members for faster analysis about the locations and if it has any unauthorized activity. So these image information exchange should be secured. Thus this paper proposes a new technique for achieving this task in two phases. In first phase the secret/informative image is encrypted using a novel encryption technique. In second phase this encrypted image is shared to receiver team using a highly secured Tangle(latest secured transmission model advanced from Blockchain).Tangle eliminates the drawback of the traditional blockchain while providing its security features like decentralization, high reliability, and low cost to transfer and store users image information data. Tangle can be combined with IoT to make it more stronger. The proposed method has been tested on various images and its performance has been compared using standard metrics such as Correlation, number of pixels change rate (NPCR), the unified average changed intensity(UACI), information entropy analysis, key space analysis, etc. The proposed technique was found to be better than literature methods like the entropy value is near to an ideal value 8, which is considered safe from brute force attack.

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Authors and Affiliations

  1. Motilal Nehru National Institute of Technology Allahabad, Allahabad, India

    Rajitha B & Nishkarsh Makhija

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  1. Rajitha B
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  2. Nishkarsh Makhija
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B, R., Makhija, N. Secured image storage and transmission technique suitable for IoT using Tangle and a novel image encryption technique. Multimed Tools Appl 82, 36793–36814 (2023). https://doi.org/10.1007/s11042-023-14794-3

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  • DOI: https://doi.org/10.1007/s11042-023-14794-3

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