Reliable Medical Image Communication in Healthcare IoT: Watermark for Authentication | IGI Global Scientific Publishing
Welcome to the InfoSci Platform
Reference Hub3
Reliable Medical Image Communication in Healthcare IoT: Watermark for Authentication

Reliable Medical Image Communication in Healthcare IoT: Watermark for Authentication

Siva Janakiraman, Sundararaman Rajagopalan, Rengarajan Amirtharajan
Copyright: © 2019 |Pages: 26
ISBN13: 9781522579526|ISBN10: 1522579524|EISBN13: 9781522579533
DOI: 10.4018/978-1-5225-7952-6.ch001
Cite Chapter Cite Chapter

MLA

Janakiraman, Siva, et al. "Reliable Medical Image Communication in Healthcare IoT: Watermark for Authentication." Medical Data Security for Bioengineers, edited by Butta Singh, et al., IGI Global, 2019, pp. 1-26. https://doi.org/10.4018/978-1-5225-7952-6.ch001

APA

Janakiraman, S., Rajagopalan, S., & Amirtharajan, R. (2019). Reliable Medical Image Communication in Healthcare IoT: Watermark for Authentication. In B. Singh, B. Saini, D. Singh, & A. Pandey (Eds.), Medical Data Security for Bioengineers (pp. 1-26). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-5225-7952-6.ch001

Chicago

Janakiraman, Siva, Sundararaman Rajagopalan, and Rengarajan Amirtharajan. "Reliable Medical Image Communication in Healthcare IoT: Watermark for Authentication." In Medical Data Security for Bioengineers, edited by Butta Singh, et al., 1-26. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7952-6.ch001

Export Reference

Mendeley
Favorite

Abstract

Images have been widely used in the medical field for various diagnostic purposes. In the field of healthcare IoT, secure communication of a medical image concerned with an individual is a crucial task. Embedding patients' personal information as an invisible watermark in their medical images helps to authenticate the ownership identification process. Reliable communication of medical image can be thereby ensured concerning authentication and integrity. Images in DICOM format with a pixel resolution of 8-bit depth are used for medical diagnostics. This chapter deals about the development of a lightweight algorithm to insert patients' identities as an invisible watermark in random edge pixels of DICOM images. This chapter describes the implementation of the proposed lightweight watermarking algorithm on a RISC microcontroller suitable for healthcare IoT applications. Imperceptibility level of the watermarked medical image was analyzed besides its lightweight performance validation on the constrained IoT platform.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global Scientific Publishing bookstore.