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Special Issue "Security and Privacy in Wireless Communication and Internet of Things"

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

Deadline for manuscript submissions: 28 February 2024 | Viewed by 870

Special Issue Editors

Department of Computer Science, Faculty of Natural Sciences, Kristianstad University, SE-29188 Kristianstad, Sweden
Interests: Internet of Things; big data; future internet; network security
Department of Information Systems and Technology, Mid Sweden University, 852 30 Sundsvall, Sweden
Interests: wireless communication; wireless sensor networks; wireless coexistence; signal processing; network security
Special Issues, Collections and Topics in MDPI journals
State Key Laboratory on Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi’an 710071, China
Interests: information security and privacy; trust modeling and management; trusted computing; trust, security and privacy in social networking and IoT
Special Issues, Collections and Topics in MDPI journals
Department of Computer and Systems Sciences, Stockholm University, 16407 Stockholm, Sweden
Interests: distributed data processing in distributed IoT; cognitive edge continuum; tactile internet, and large-scale decentralized systems (blockchain)

Special Issue Information

Dear Colleagues,

Recent developments in wireless communication and Internet of Things (IoT) have enabled many new applications, and are dramatically changing our lives. The IoT interconnects people, networks, fog/edge, cloud, sensors, actuators, and physical environments to make networking and wireless communication more relevant and valuable than ever before. However, there are problems such as hardware resource constraints, lack of dominating standards, lack of interoperability among different service providers and different communication platforms. These problems make it challenging to design and provide security solutions for wireless communication and IoT. Meanwhile, many security- and privacy-sensitive applications, such as process industry applications, intelligent transportation systems, smart city and smart home applications, as well as remote healthcare applications, are heavily dependent on wireless communication and IoT. It is therefore imperative to study the security and privacy solutions for wireless communication and IoT with regards to the newest development trends in both technology and applications. With this Special Issue, we solicit original contributions on security and privacy in wireless communication and IoT, such as physical-layer security, network security, human factors, blockchain applications, privacy preservation with federated learning, intrusion detection, lightweight cryptography, quantum cryptography for IoT, and experiences from providing security for real-world mobile and IoT applications.

Dr. Qinghua Wang
Prof. Dr. Mikael Gidlund
Prof. Dr. Zheng Yan
Prof. Dr. Rahim Rahmani
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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.


  • blockchain
  • human factors in cybersecurity
  • IoT security
  • lightweight cryptography
  • mobile security
  • network security
  • physical-layer security
  • privacy preserving

Published Papers (1 paper)

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Inter-Frame-Relationship Protected Signal: A New Design for Radio Frequency Fingerprint Authentication
Sensors 2023, 23(15), 6948; - 04 Aug 2023
Viewed by 308
Utilizing a multi-frame signal (MFS) rather than a single-frame signal (SFS) for radio frequency fingerprint authentication (RFFA) shows the advantage of higher accuracy. However, previous studies have often overlooked the associated security threats in MFS-based RFFA. In this paper, we focus on the [...] Read more.
Utilizing a multi-frame signal (MFS) rather than a single-frame signal (SFS) for radio frequency fingerprint authentication (RFFA) shows the advantage of higher accuracy. However, previous studies have often overlooked the associated security threats in MFS-based RFFA. In this paper, we focus on the carrier-sense multiple access with collision avoidance channel and identify a potential security threat, in that an attacker may inject a forged frame into valid traffic, making it more likely to be accepted alongside legitimate frames. To counter such a security threat, we propose an innovative design called the inter-frame-relationship protected signal (IfrPS), which enables the receiver to determine whether two consecutively received frames originate from the same transmitter to safeguard the MFS-based RFFA. To demonstrate the applicability of our proposition, we analyze and numerically evaluate two important properties: its impact on message demodulation and the accuracy gain in IfrPS-aided, MFS-based RFFA compared with the SFS-based RFFA. Our results show that the proposed scheme has a minimal impact of only −0.5 dB on message demodulation, while achieving up to 5 dB gain for RFFA accuracy. Full article
(This article belongs to the Special Issue Security and Privacy in Wireless Communication and Internet of Things)
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