High Capacity and Secure Electronic Patient Record (EPR) Embedding in Color Images for IoT Driven Healthcare Systems

Parah, Shabir A.; Sheikh, Javaid A.; Ahad, Farhana; Bhat, G. Mohiuddin

doi:10.1007/978-3-319-60435-0_17

Cited by 21 publications

(5 citation statements)

References 43 publications

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“…For embedding the information, a directed edge method is used. In another work Parah and others in [12] have proposed a high capacitive scheme for secure transmitting electronic patient record which is hidden in medical color images for IoT based health care system. Two Pseudo-random sequences like main address vector (MAV) abd Complementary Address vector (CAV) are used to address the pixel locations for embedding the data.…”

Section: Related Workmentioning

confidence: 99%

High Capacitive Secure Image Transmission Over Wireless Channels

2021

IJATCSE

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Expansion of internet connectivity and its usage globally has increased various demands of providing security for the data transmission. Telemedicine is a modern way of medical care that can be extended to any remote place across the globe. This medical care practice is a result of the deployment of communication systems and information technology into healthcare system. With this technology the diagnosed data can be shared with physician and take his consultation remarks and also physicians can access to diagnostic archive and share for medical practice and learning. However, this exchange of information is confined with several risks of data theft when they are shared in open networks and hence they are to be protected with high security algorithms. This paper provides a high capacitive security algorithm for protecting the images with hidden confidential information. The approach provides a two-way security by encrypting the clinical information initially and embedding it imperceptibly in the concerned image so that the user on other can obtain both the visual and text data at same instance

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Section: Related Workmentioning

confidence: 99%

High Capacitive Secure Image Transmission Over Wireless Channels

2021

IJATCSE

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“…Parah et al [30], proposed a secure high capacity scheme capable of securing an electronic patient record (EPR) concealed in medical color images for an IoT based healthcare system. Two address vectors namely MAV (Main Address Vector) and CAV (Complementary Address Vector) have been generated as pseudorandom addresses to address the pixel locations for further embedding.…”

Section: Related Workmentioning

confidence: 99%

Secure Medical Data Transmission Model for IoT-Based Healthcare Systems

et al. 2018

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Due to the significant advancement of the Internet of Things (IoT) in the healthcare sector, the security, and the integrity of the medical data became big challenges for healthcare services applications. This paper proposes a hybrid security model for securing the diagnostic text data in medical images. The proposed model is developed through integrating either 2-D discrete wavelet transform 1 level (2D-DWT-1L) or 2-D discrete wavelet transform 2 level (2D-DWT-2L) steganography technique with a proposed hybrid encryption scheme. The proposed hybrid encryption schema is built using a combination of Advanced Encryption Standard, and Rivest, Shamir, and Adleman algorithms. The proposed model starts by encrypting the secret data; then it hides the result in a cover image using 2D-DWT-1L or 2D-DWT-2L. Both color and gray-scale images are used as cover images to conceal different text sizes. The performance of the proposed system was evaluated based on six statistical parameters; the peak signal-to-noise ratio (PSNR), mean square error (MSE), bit error rate (BER), structural similarity (SSIM), structural content (SC), and correlation. The PSNR values were relatively varied from 50.59 to 57.44 in case of color images and from 50.52 to 56.09 with the gray scale images. The MSE values varied from 0.12 to 0.57 for the color images and from 0.14 to 0.57 for the gray scale images. The BER values were zero for both images, while SSIM, SC, and correlation values were ones for both images. Compared with the state-of-the-art methods, the proposed model proved its ability to hide the confidential patient's data into a transmitted cover image with high imperceptibility, capacity, and minimal deterioration in the received stego-image.

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“…Secondly, the implementation of spatial embedding does not require large computational resources, which makes such algorithms more preferable for applications for which performance is important. For example, most algorithms for data embedding in digital images in the "Internet of things" are based on the LSB method in the spatial domain [14][15][16]. The main disadvantage of spatial methods is weak robustness.…”

Section: A Spatial Data Hidingmentioning

confidence: 99%

Digital Steganography and Watermarking for Digital Images: A Review of Current Research Directions

2020

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The development of information technology has led to a significant increase in the share of multimedia traffic in data networks. This has necessitated to solve the following information security tasks in relation to multimedia data: protection against leakage of confidential information, as well as identifying the source of the leak; ensuring the impossibility of unauthorized changes; copyright protection for digital objects. To solve such kind of problems, methods of steganography and watermarking are designed that implement embedding in digital objects hidden information sequences for various purposes. In this paper, an overview of promising research in the specified area is provided. First of all, we provide basic information about this field of research and consider the main applications of its methods. Next, we review works demonstrating current trends in the development of methods and algorithms for data hiding in digital images. This review is not exhaustive; it focuses on contemporary works illustrating current research directions in the field of information embedding in digital images. This is the main feature of review, which distinguishes it from previously published reviews. The paper concludes with an analysis of identified problems in the field of digital steganography and digital watermarking.

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High Capacity and Secure Electronic Patient Record (EPR) Embedding in Color Images for IoT Driven Healthcare Systems

Cited by 21 publications

References 43 publications

High Capacitive Secure Image Transmission Over Wireless Channels

High Capacitive Secure Image Transmission Over Wireless Channels

Secure Medical Data Transmission Model for IoT-Based Healthcare Systems

Digital Steganography and Watermarking for Digital Images: A Review of Current Research Directions

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