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Brain-Computer Interfaces pp 295–312Cite as

Web-Based Intelligent EEG Signal Authentication and Tamper Detection System for Secure Telemonitoring

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 74))

Abstract

In recent times, the augmented influence of globalization in the medical domain is quite noticeable and is very much evident from the modern medical approaches. Exchanging medical information using communication technologies to provide health care services for mutual availability of therapeutic case studies amongst various geographically distant diagnostic centers or hospitals is a very common practice now a days. However, during the exchange of medical data which is of critical importance, unauthorized entities may interfere. These entities may also modify the data which is unacceptable. In this chapter, we propose a novel approach to design a robust online biomedical content authentication and tamper detection system, where a watermark is embedded on the biomedical information to be sent, to protect its integrity and safety. In the current work, the medical data exchanged is an Electroencephalogram Signal (EEG signal), and the watermark that is embedded is the logo of the hospital or Electronic Patient Record (EPR). The proposed process is accomplished by coloring the EEG signal data in the file which can be sent to the authorized user by sending the data file or URL. The receiver decodes the received file and extracts the embedded watermark. The similarity between the original and received watermark claims that the medical data has not been tampered. And thus, this proposed intelligent web based system of binary image watermarking into the EEG data, along with the high level of robustness, imperceptibility and payload that it provides, proposed system can serve as an accurate authentication and tamper detection system.

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Authors and Affiliations

  1. JIS College of Engineering, Kalyani, India

    Aniruddha Mukherjee, Goutami Dey & Monalisa Dey

  2. Bengal College of Engineering and Technology, Durgapur, India

    Nilanjan Dey

Authors
  1. Aniruddha Mukherjee
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  2. Goutami Dey
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  3. Monalisa Dey
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  4. Nilanjan Dey
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Corresponding author

Correspondence to Monalisa Dey .

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Editors and Affiliations

  1. Department of Information Technology, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

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Mukherjee, A., Dey, G., Dey, M., Dey, N. (2015). Web-Based Intelligent EEG Signal Authentication and Tamper Detection System for Secure Telemonitoring. In: Hassanien, A., Azar, A. (eds) Brain-Computer Interfaces. Intelligent Systems Reference Library, vol 74. Springer, Cham. https://doi.org/10.1007/978-3-319-10978-7_11

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  • DOI: https://doi.org/10.1007/978-3-319-10978-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10977-0

  • Online ISBN: 978-3-319-10978-7

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