Secure communication of medical images is essential to telemedicine. Message Authentication Codes (MAC) can be embedded inside medical images to protect their integrity. fragile watermarking algorithms are suitable op...
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Secure communication of medical images is essential to telemedicine. Message Authentication Codes (MAC) can be embedded inside medical images to protect their integrity. fragile watermarking algorithms are suitable options since they can be used to detect any tampering attempt. In this paper, a novel fragiledata-hiding algorithm based on Integer-to-Integer Discrete Wavelet Transforms (IIDWT) and A(5) Lattice Vector Quantization (LVQ) is proposed. In the proposed data-hiding algorithm, a combination of the medical image Metadata and a MAC is embedded into the medical image. The Metadata includes information about the patient such as name, family, birthday, the place where it is created such as the name of the hospital, and the physician's name. To preserve the privacy of the patients and the physician/hospital, the Metadata is then replaced with fake information. The receiver can extract the Metadata and the MAC. If the extracted MAC is the same as the expected MAC, the integrity of the medical image is guaranteed. Otherwise, a tampering attempt is detected. The proposed algorithm can embed 50% more data than similar algorithms in medical images while keeping the Peak Signal to Noise Ratio (PSNR) in acceptable ranges. Furthermore, the proposed algorithm is applied to a dataset of medical images and high PSNR values above 53.88 dB are experienced.
fragile data hiding has been extensively used for secure transmission of the sensitive data using cover images, audios and videos. In the past decade, increasingly the remote sensing applications require transmission ...
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fragile data hiding has been extensively used for secure transmission of the sensitive data using cover images, audios and videos. In the past decade, increasingly the remote sensing applications require transmission and archiving of large number of aerial images and videos. Storage and processing of remote sensing data in the public cloud computing and storage platforms, with servers outside the control of the data owners, requires sufficient attention to persevering the privacy of the data. Furthermore, in the past few years the applications of drones and unmanned aerial vehicles demand algorithms designed especially for low altitude remote sensing data. In this paper, a novel fragile data hiding algorithm for secure transmission and archiving of sensitive data in low altitude aerial videos is presented. The proposed method incorporates Integer-to-Integer discrete wavelet transform and lattice vector quantization to present a high capacity datahiding algorithm. The fragility of the proposed algorithm results in the loss of the embedded authentication credential by any tampering attempt. The experimental results show that the proposed fragile data hiding algorithm is capable of hiding significantly higher amount of data in the aerial videos compared to other existing algorithms while keeping the perceptual quality of the cover media in an acceptable range.
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