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Advances in E-health Networking and Its Applications

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

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 7033

Special Issue Editors


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Guest Editor
DITEN, University of Genoa, Genoa, Italy
Interests: digital signal processing; eHealth applications; mobile computing
Special Issues, Collections and Topics in MDPI journals
Department of Computer and Information Science, University of Macau, Room 4023, E11, FST Building, Taipa, Macau 999078, China
Interests: data stream mining; big data; advanced analytics; bio-inspired optimization algorithms and applications; business intelligence; e-commerce; biomedical applications; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Computer Science, Lakehead University, ATAC 5013, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada
Interests: internet of medical things; web intelligence; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Computer Science, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada
Interests: thick data analytics; web mining; learning analytics; social networking; web services; interoperability; software agility development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

E-health networking has played important roles in health applications. This Special Issue will focus on the following three-fold scope: (1) aim to discuss the latest advancements in the e-health field by presenting innovative and efficient solutions; (2) aim to illustrate practical aspects of e-health solutions through experimental results and by analyzing the responses to technology-assisted medical care and treatments; and (3) aim to offer further directions for research by posing new problems and challenges in the e-health field.

The topics include, but are not limited to, the following:

  • Sensor-based e-health systems.
  • Signal/data processing and computing for health systems.
  • Deep and machine learning for e-health solutions.
  • Edge computing for wearable medical devices.
  • Biometric analyses (gait analysis, eye tracking, falls, and mHealth).
  • In-hospital networking, body area, and cloud-integrated networking.
  • E-health solutions based on 5G.
  • Medical, biomedical, and health communication systems.
  • Medical imaging.
  • Signal processing, data cleansing, management, and mining.
  • Smart health and big data.
  • The IoT for e-health and telemedicine.
  • Integration of medical devices with e-health platforms.
  • Wearable and implantable devices.
  • Device security and safety.
  • Wearable devices against COVID-19.
  • E-health services/applications for physical and mental health.
  • E-health services/applications for sports and exercise.
  • E-health services/applications for public health (disease prevention, pandemic preparedness).
  • E-health services/applications for extreme environments.
  • E-health services/applications for COVID-19.
  • mHealth applications and software.
  • Quality of experience (QoE) for e-health services/applications.
  • Security, privacy, and trust for e-health services/applications.
  • E-health case studies and applications.
  • E-health for neurological diseases.

Dr. Andrea Sciarrone
Dr. Simon Fong
Prof. Dr. Sabah Mohammed
Prof. Dr. Jinan Fiaidhi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

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.

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Published Papers (1 paper)

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Research

18 pages, 899 KiB  
Article
Cybersecurity Analysis of Wearable Devices: Smartwatches Passive Attack
by Alejandra Guadalupe Silva-Trujillo, Mauricio Jacobo González González, Luis Pablo Rocha Pérez and Luis Javier García Villalba
Sensors 2023, 23(12), 5438; https://doi.org/10.3390/s23125438 - 8 Jun 2023
Cited by 6 | Viewed by 4425
Abstract
Wearable devices are starting to gain popularity, which means that a large portion of the population is starting to acquire these products. This kind of technology comes with a lot of advantages, as it simplifies different tasks people do daily. However, as they [...] Read more.
Wearable devices are starting to gain popularity, which means that a large portion of the population is starting to acquire these products. This kind of technology comes with a lot of advantages, as it simplifies different tasks people do daily. However, as they recollect sensitive data, they are starting to be targets for cybercriminals. The number of attacks on wearable devices forces manufacturers to improve the security of these devices to protect them. Many vulnerabilities have appeared in communication protocols, specifically Bluetooth. We focus on understanding the Bluetooth protocol and what countermeasures have been applied during their updated versions to solve the most common security problems. We have performed a passive attack on six different smartwatches to discover their vulnerabilities during the pairing process. Furthermore, we have developed a proposal of requirements needed for maximum security of wearable devices, as well as the minimum requirements needed to have a secure pairing process between two devices via Bluetooth. Full article
(This article belongs to the Special Issue Advances in E-health Networking and Its Applications)
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