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Selected Papers From the 7th International Conference on Cyber Security...
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Selected Papers From the 7th International Conference on Cyber Security and Information Engineering (ICCSIE2022)

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

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 5179

Special Issue Editors

Prof. Dr. Jingsha He

E-Mail Website
Guest Editor
Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
Interests: information security; wireless networks; blockchain technology; digital forensics
Special Issues, Collections and Topics in MDPI journals
Dr. Danilo Avola

E-Mail Website
Guest Editor
Department of Computer Science, Sapienza University of Rome, 00185 Rome, Italy
Interests: computer vision (feature extraction and pattern analysis); scene and event understanding (by people and/or vehicles and/or objects); human–computer interaction (pose estimation and gesture recognition by hands and/or body); sketch-based interaction (handwriting and freehand drawing); human–behaviour recognition (actions, emotions, feelings, affects, and moods by hands, body, facial expressions, and voice); biometric analysis (person re-identification by body visual features and/or gait and/or posture/pose); artificial intelligence (machine/deep learning); medical image analysis (MRI, ultrasound, X-rays, PET, and CT); multimodal fusion models; brain–computer interfaces (interaction and security systems); signal processing; visual cryptography (by RGB images); smart environments and natural interaction (with and without virtual/augmented reality); robotics (monitoring and surveillance systems with PTZ cameras, UAVs, AUVs, rovers, and humanoids)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to comprise an extended version of conference papers from the 7th International Conference on Cyber Security and Information Engineering (ICCSIE2022), which will be held in Brisbane, Australia during 23–25 September 2022. The conference has attracted hundreds of participants and becomes a platform for researchers from various application areas to discuss problems and solutions in the area, identify new issues, and shape future directions for research.

The purpose of this Special Issue is devoted to exploring and promoting the research and applications in the field of cyber security and information engineering to achieve secure smart environment and to tackle the targets and challenges associated with the Internet of Everything. We invite the submission of original research papers in the fields of theoretical, experimental, and applied computer science and information engineering, and we will select papers on sensing-related topics to be published in this Special Issue. We thank presenters and speakers in advance for your attendance at this conference and look forward to a stimulating exchange.

Prof. Dr. Jingsha He
Dr. Danilo Avola
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.

Keywords

  • cyber security
  • information engineering
  • sensor
  • communications engineering
  • intelligence science and technology
  • integration system
  • privacy and data protection
  • AI

Published Papers (3 papers)

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Research

17 pages, 7788 KiB  
Article
An Improved Orthogonal Matching Pursuit Algorithm for CS-Based Channel Estimation
by Lu Si, Weizhang Xu, Xinle Yu and Hang Yin
Sensors 2023, 23(23), 9509; https://doi.org/10.3390/s23239509 - 29 Nov 2023
Viewed by 616
Abstract
Wireless broadband transmission channels usually have time-domain-sparse properties, and the reconstruction of these channels using a greedy search-based orthogonal matching pursuit (OMP) algorithm can effectively improve channel estimation performance while decreasing the length of the reference signal. In this research, the improved OMP [...] Read more.
Wireless broadband transmission channels usually have time-domain-sparse properties, and the reconstruction of these channels using a greedy search-based orthogonal matching pursuit (OMP) algorithm can effectively improve channel estimation performance while decreasing the length of the reference signal. In this research, the improved OMP and SOMP algorithms for compressed-sensing (CS)-based channel estimation are proposed for single-carrier frequency domain equalization (SC-FDE) systems, which, in comparison with conventional algorithms, calculate the path gain after obtaining the path delay and updating the observation matrices. The reliability of the communication system is further enhanced because the channel path gain is calculated using longer observation vectors, which lowers the Cramér–Rao lower bound (CRLB) and results in better channel estimation performance. The developed method can also be applied to time-domain-synchronous OFDM (TDS-OFDM) systems, and it is applicable to the improvement of other matching pursuit algorithms. Full article
(This article belongs to the Special Issue Selected Papers From the 7th International Conference on Cyber Security and Information Engineering (ICCSIE2022))
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16 pages, 11463 KiB  
Article
Application of Air-Coupled Ground Penetrating Radar Based on F-K Filtering and BP Migration in High-Speed Railway Tunnel Detection
by Yang Lei, Bo Jiang, Guofeng Su, Yong Zou, Falin Qi, Baoqing Li, Feiyu Jia, Tian Tian and Qiming Qu
Sensors 2023, 23(9), 4343; https://doi.org/10.3390/s23094343 - 27 Apr 2023
Cited by 5 | Viewed by 1348
Abstract
As the number and length of high-speed railway tunnels increase in China, implicit defects such as insufficient lining thicknesses, voids, and poor compaction have become increasingly common, posing a serious threat to train operation safety. It is, therefore, imperative to conduct a comprehensive [...] Read more.
As the number and length of high-speed railway tunnels increase in China, implicit defects such as insufficient lining thicknesses, voids, and poor compaction have become increasingly common, posing a serious threat to train operation safety. It is, therefore, imperative to conduct a comprehensive census of the defects within the tunnel linings. In response to this problem, this study proposes a high-speed railway tunnel detection method based on vehicle-mounted air-coupled GPR. Building on a forward simulation of air-coupled GPR, the study proposes the F-K filtering and BP migration algorithms based on the practical considerations of random noise and imaging interference from the inherent equipment. Through multi-dimensional quantitative comparisons, these algorithms are shown to improve the spectrum entropy values and instantaneous amplitude ratios by 4.6% and 11.6%; and 120% and 180%, respectively, over the mean and bandpass filtering algorithms, demonstrating their ability to suppress clutter and enhance the internal signal prominence of the lining. The experimental results are consistent with the forward simulation trends, and the verification using the ground-coupled GPR detection confirms that air-coupled GPR can meet the requirements of high-speed railway tunnel lining inspections. A comprehensive GPR detection model is proposed to lay the foundation for a subsequent defect census of high-speed railway tunnels. Full article
(This article belongs to the Special Issue Selected Papers From the 7th International Conference on Cyber Security and Information Engineering (ICCSIE2022))
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12 pages, 2474 KiB  
Article
A Topological Sensitive Node Importance Evaluation Method in Aerospace Information Networks
by Peng Yang, Shuang Hu, Shijie Zhou and Jiaying Zhang
Sensors 2023, 23(1), 266; https://doi.org/10.3390/s23010266 - 27 Dec 2022
Cited by 2 | Viewed by 1040
Abstract
With the rapid development of communication technology and the diversification and rapid growth of network application demands, the requirements for the anti-destruction capability of information networks have also increased. Therefore, an efficient and accurate metric of the survivability of satellite networks has become [...] Read more.
With the rapid development of communication technology and the diversification and rapid growth of network application demands, the requirements for the anti-destruction capability of information networks have also increased. Therefore, an efficient and accurate metric of the survivability of satellite networks has become a hotspot of current research. Firstly, in this paper, we propose a transfer matrix-based spatial information network invulnerability evaluation algorithm. The algorithm draws the idea of a node deletion method to determine the initial importance of nodes and then establishes a formula for the importance transfer probability of the nodes. In addition, an evaluation algorithm of spatial information network invulnerability is obtained using the network structure entropy theory. Simulations show that our new evaluation algorithm based on the transfer matrix is more accurate compared to degree centricity, natural connectivity and other methods in evaluating the importance of the nodes. The proposed index can effectively reflect the change in the network topology and evaluate the network survivability. Full article
(This article belongs to the Special Issue Selected Papers From the 7th International Conference on Cyber Security and Information Engineering (ICCSIE2022))
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