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Sensors
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Security and Privacy in Mobile Sensing Applications
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Security and Privacy in Mobile Sensing Applications

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

Deadline for manuscript submissions: closed (20 November 2023) | Viewed by 2133

Special Issue Editors

Dr. Haytham El Miligi

E-Mail Website
Guest Editor
Electrical and Computer Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada
Interests: applications of machine learning in cyber security
Special Issues, Collections and Topics in MDPI journals
Dr. Sherif Saad

E-Mail Website
Guest Editor
School of Computer Science, University of Windsor, Windsor, ON N9B 3P4, Canada
Interests: cybersecurity; dependability; resilient computing; applied machine learning; secure software engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid increase in utilizing sensors in IoT and cloud-based applications has introduced significant challenges related to data security and privacy. From gaming applications to critical medical services, data security and privacy have been always a major concern for both developers and end users. This special issue aims to publish innovative and original research and review articles on recent advances, technologies, solutions, applications, and new challenges related to the security and privacy in mobile sensing applications.

Potential topics include but are not limited to the following:

  • Data privacy in WSN and IoT networks.
  • Security of federated learning communication schemes in mobile sensing applications.
  • Hardware security and privacy issues for IoT and mobile sensing applications.
  • Future and secure IoT-based data collection methods.
  • Secure data mining and machine learning in IoT and mobile sensing applications.
  • Side-channel attacks and defense methods for mobile sensing applications.
  • Penetration testing challenges for mobile sensing applications.
  • Secure routing in sensor networks and mobile sensing applications.
  • Intrusion prevention and detection in sensor networks and mobile sensing applications.
  • Body sensor network security and privacy challenges.
  • Smart meter security and privacy challenges.
  • Big data security and privacy issues for sensor networks and mobile sensing applications.

Dr. Haytham El Miligi
Dr. Sherif Saad
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.

Published Papers (1 paper)

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Research

14 pages, 1875 KiB  
Article
Ensemble Siamese Network (ESN) Using ECG Signals for Human Authentication in Smart Healthcare System
by Mehdi Hazratifard, Vibhav Agrawal, Fayez Gebali, Haytham Elmiligi and Mohammad Mamun
Sensors 2023, 23(10), 4727; https://doi.org/10.3390/s23104727 - 13 May 2023
Cited by 4 | Viewed by 1642
Abstract
Advancements in digital communications that permit remote patient visits and condition monitoring can be attributed to a revolution in digital healthcare systems. Continuous authentication based on contextual information offers a number of advantages over traditional authentication, including the ability to estimate the likelihood [...] Read more.
Advancements in digital communications that permit remote patient visits and condition monitoring can be attributed to a revolution in digital healthcare systems. Continuous authentication based on contextual information offers a number of advantages over traditional authentication, including the ability to estimate the likelihood that the users are who they claim to be on an ongoing basis over the course of an entire session, making it a much more effective security measure for proactively regulating authorized access to sensitive data. Current authentication models that rely on machine learning have their shortcomings, such as the difficulty in enrolling new users to the system or model training sensitivity to imbalanced datasets. To address these issues, we propose using ECG signals, which are easily accessible in digital healthcare systems, for authentication through an Ensemble Siamese Network (ESN) that can handle small changes in ECG signals. Adding preprocessing for feature extraction to this model can result in superior results. We trained this model on ECG-ID and PTB benchmark datasets, achieving 93.6% and 96.8% accuracy and 1.76% and 1.69% equal error rates, respectively. The combination of data availability, simplicity, and robustness makes it an ideal choice for smart healthcare and telehealth. Full article
(This article belongs to the Special Issue Security and Privacy in Mobile Sensing Applications)
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