An Adaptive Enhanced Technique for Locked Target Detection and Data Transmission over Internet of Healthcare Things

The incredible advancements in data transmission technology have opened up more potentials for data security than ever before. Numerous methods for data protection have been developed during the previous decades, including steganography and cryptography. The security and integrity of medical data ha...

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Bibliographic Details
Published in:Electronics (Basel) 2022-09, Vol.11 (17), p.2726
Main Authors: Khan, Muhammad Amir, Khan, Jawad, Sehito, Nabila, Mahmood, Khalid, Ali, Haider, Bari, Inam, Arif, Muhammad, Ghoniem, Raania M
Format: Article
Language:English
Subjects:
Algorithms
Cryptography
Data encryption
Data security
Data transmission
Discrete Wavelet Transform
Health care
Health services
Hybrid systems
Internet of Things
Medical care
Medical equipment
Medical imaging
Methods
Pakistan
Physiological apparatus
Security
Sensors
Steganography
Target detection
Technology application
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Summary:The incredible advancements in data transmission technology have opened up more potentials for data security than ever before. Numerous methods for data protection have been developed during the previous decades, including steganography and cryptography. The security and integrity of medical data have emerged as major barriers for healthcare service systems as the Internet of Things has evolved dramatically in the healthcare business. Communication between two devices securely is a difficult problem. Numerous cryptographic algorithms are already available, including data encryption standard (DES), Rivest–Shamir–Adleman (RSA), and advanced encryption standard (AES). In this paper, we present a hybrid security model for the protection of diagnostic text data contained in medical photographs. The proposed model is built by combining a proposed hybrid encryption system with either a 2D Discrete Wavelet Transform 1 Level (2D-DWT-1L) or a 2D Discrete Wavelet Transform 2 Level (2D-DWT-2L) steganography technique. The suggested model encrypts secret data and hides them using 2D-DWT-3L. As text covers, color and grayscale images are employed. The suggested system’s performance was tested using PSNR, SSIM, MSE, and Correlation. Associated to state-of-the-art approaches, the proposed model masked personal patient data with high capacity, imperceptibility and minimum deterioration in the received stego-image. We use MATLAB to build the proposed mechanism, and measures such as throughput and execution time are used to assess performance.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics11172726