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Smart camera with image encryption: a secure solution for real-time monitoring in Industry 4.0

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Abstract

Industry 4.0 standards have been widely adopted by most industries, encompassing remote monitoring for workplace safety, logistics, asset monitoring, quality management, and product monitoring. Real-time data, including images, must be transmitted for effective remote monitoring. However, due to cybersecurity concerns, the data must be encrypted before being sent over the internet. To address this, a real-time smart camera-based encryption method using chaos is proposed in this work. The encryption logic is created using LabVIEW and integrated into the smart camera. The four-step encryption process includes pixel shuffling, confusion, Improved logistic mapping, and diffusion. Encryption keys are generated using the user’s passcode to set the initial parameters of the logistic mapping for generating key sequences. The resulting encrypted frames are diffused with index key streams to further enhance security. The proposed method has undergone security and performance analyses, demonstrating robustness against various vulnerabilities and minimal computational time. This makes it suitable for real-time encryption scenarios in Industry 4.0.

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Data availability

The reference plain images were downloaded from the following source: https://sipi.usc.edu/database/misc.zip. Additionally, the real-time images generated and analyzed in the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India

    C. Sekar & M. Brindha

  2. Government Polytechnic Miraj, Sangli, Maharashtra, 416410, India

    Vinod Ramesh Falmari

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  1. C. Sekar
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  2. Vinod Ramesh Falmari
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  3. M. Brindha
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Contributions

All persons who meet authorship criteria are listed as authors, and all authors certify that they have participated sufficiently in the work to take public responsibility for the content, including participation in the concept, design, analysis, writing, or revision of the manuscript. CS and VRF contribute Conception, methodology, design of the study, software and writing the original draft. Dr. MB contributes Supervision, investigation, and validation.

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Correspondence to M. Brindha.

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Sekar, C., Falmari, V.R. & Brindha, M. Smart camera with image encryption: a secure solution for real-time monitoring in Industry 4.0. J Real-Time Image Proc 20, 83 (2023). https://doi.org/10.1007/s11554-023-01338-z

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