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Trusted ICT in the Secure Human-Centered Computing (HCC)

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (15 October 2023) | Viewed by 1109

Special Issue Editor


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Guest Editor
Department of Information Management, Chaoyang University of Technology, 168 Jifeng E. Rd., Wufeng District, Taichung 41349, Taiwan
Interests: network security; steganography; image authentication; data mining

Special Issue Information

Dear Colleagues,

Human-centered computing (HCC) is an interdisciplinary field of study that focuses on designing and developing computing systems that are intuitive, user-friendly, and tailored to the needs and capabilities of users. HCC is concerned with the development of computing technologies, including computer science, psychology, design, and engineering, to create user-centric computing systems and are used in a wide range of applications, such as health monitoring, activity recognition, and smart environments. Advanced information and communication technology (ICT) is a fundamental part of a smart society. The rapid development of information and communication technology (ICT) has enabled people to easily send and receive confidential information from all over the world via the Internet in seconds. Trusted ICT technologies are critical in the design and implementation of secure HCC systems to ensure that the system is secure, reliable, and trustworthy, ultimately improving the user experience and increasing the adoption of computing technologies.

Prof. Dr. Chin-Feng Lee
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • trusted ICT infrastructure and systems in HCC
  • security and privacy aspects and requirements in HCC applications
  • multimedia information hiding and processing
  • security and privacy in wireless sensor networks
  • security and privacy for blockchains and cryptocurrencies in HCC
  • computer-assisted learning and cognition
  • privacy, security and cryptography in HCC
  • artificial ambient intelligence technologies and applications

Published Papers (1 paper)

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Research

24 pages, 3606 KiB  
Article
A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT
by Mohamed Yamni, Achraf Daoui, Paweł Pławiak, Haokun Mao, Osama Alfarraj and Ahmed A. Abd El-Latif
Sensors 2023, 23(18), 7914; https://doi.org/10.3390/s23187914 - 15 Sep 2023
Cited by 1 | Viewed by 732
Abstract
To avoid rounding errors associated with the limited representation of significant digits when applying the floating-point Krawtchouk transform in image processing, we present an integer and reversible version of the Krawtchouk transform (IRKT). This proposed IRKT generates integer-valued coefficients within the Krawtchouk domain, [...] Read more.
To avoid rounding errors associated with the limited representation of significant digits when applying the floating-point Krawtchouk transform in image processing, we present an integer and reversible version of the Krawtchouk transform (IRKT). This proposed IRKT generates integer-valued coefficients within the Krawtchouk domain, seamlessly aligning with the integer representation commonly utilized in lossless image applications. Building upon the IRKT, we introduce a novel 3D reversible data hiding (RDH) algorithm designed for the secure storage and transmission of extensive medical data within the IoMT (Internet of Medical Things) sector. Through the utilization of the IRKT-based 3D RDH method, a substantial amount of additional data can be embedded into 3D carrier medical images without augmenting their original size or compromising information integrity upon data extraction. Extensive experimental evaluations substantiate the effectiveness of the proposed algorithm, particularly regarding its high embedding capacity, imperceptibility, and resilience against statistical attacks. The integration of this proposed algorithm into the IoMT sector furnishes enhanced security measures for the safeguarded storage and transmission of massive medical data, thereby addressing the limitations of conventional 2D RDH algorithms for medical images. Full article
(This article belongs to the Special Issue Trusted ICT in the Secure Human-Centered Computing (HCC))
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