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Special Issue "Security for Mobile Sensing Networks"

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

Deadline for manuscript submissions: 31 August 2021.

Special Issue Editor

Dr. Ilsun You
E-Mail Website1 Website2
Guest Editor
Department of Information Security Engineering, Soonchunhyang University, 22 Soonchunhyang-ro, Shinchang-myeon, Asan-si 31538, Choongchungnam-do, Korea
Interests: 5G security; IoT security; authentication and access control; formal security analysis; mobile internet security
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

With the proliferation of mobile networks and the introduction of 5G networks in particular, the Internet of Things (IoT) and sensing networks have evolved to support communication any time anywhere regardless of movement. Such an evolution will expectedly introduce new innovative services and applications. Obvisouly, these mobile sensing networks will be vulnerable to a variety of security threats and attacks if not properly secured.

This Special Issue aims to bring together the current state-of-the-art research and future directions for security for mobile sensing networks. For this goal, we cordially invite researchers and engineers from both academia and industry to submit their original and novel work for inclusion in this Special Issue. Tutorial or survey papers are also welcome.

The topics related to this Special Issue include but are not limited to:

  • Secure architecture and models for mobile sensing networks;
  • Security issues and protocols for mobile sensing networks;
  • Security threats, models, and countermeasures for mobile sensing networks;
  • Access control and authentication for mobile sensing networks;
  • Privacy, trust, and reliability for mobile sensing networks;
  • Risk/threat assessment and management for mobile sensing networks;
  • Intrusion detection techniques for mobile sensing networks;
  • Availability, recovery, and auditing for mobile sensing networks;
  • Mobility management and handover security for mobile sensing networks;
  • Software security for mobile sensing networks;
  • Threat intelligence for mobile sensing networks;
  • Vehicular-sensor network security;
  • Security of wearable and body-area sensor networks;
  • Security of battlefield mobile sensor applications and solutions;
  • Cryptographic hardware development for mobile sensing devices;
  • Others and emerging new topics.

Dr. Ilsun You
Guest Editor

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 papers will be 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 2200 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

Article
Robust Iris Segmentation Algorithm in Non-Cooperative Environments Using Interleaved Residual U-Net
Sensors 2021, 21(4), 1434; https://doi.org/10.3390/s21041434 - 18 Feb 2021
Cited by 1 | Viewed by 808
Abstract
Iris segmentation plays an important and significant role in the iris recognition system. The prerequisite for accurate iris recognition is the correctness of iris segmentation. However, the efficiency and robustness of traditional iris segmentation methods are severely challenged in a non-cooperative environment because [...] Read more.
Iris segmentation plays an important and significant role in the iris recognition system. The prerequisite for accurate iris recognition is the correctness of iris segmentation. However, the efficiency and robustness of traditional iris segmentation methods are severely challenged in a non-cooperative environment because of unfavorable factors, for instance, occlusion, blur, low resolution, off-axis, motion, and specular reflections. All of the above factors seriously reduce the accuracy of iris segmentation. In this paper, we present a novel iris segmentation algorithm that localizes the outer and inner boundaries of the iris image. We propose a neural network model called “Interleaved Residual U-Net” (IRUNet) for semantic segmentation and iris mask synthesis. The K-means clustering is applied to select saliency points set in order to recover the outer boundary of the iris, whereas the inner border is recovered by selecting another set of saliency points on the inner side of the mask. Experimental results demonstrate that the proposed iris segmentation algorithm can achieve the mean IOU value of 98.9% and 97.7% for inner and outer boundary estimation, respectively, which outperforms the existing approaches on the challenging CASIA-Iris-Thousand database. Full article
(This article belongs to the Special Issue Security for Mobile Sensing Networks)
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