sensors-logo

Journal Browser

Journal Browser

Privacy and Cybersecurity in IoT-Based Applications

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

Deadline for manuscript submissions: 20 January 2026 | Viewed by 720

Special Issue Editor


E-Mail Website
Guest Editor
Center of Excellence for Communication Systems Technology Research, Prairie View A&M University, Prairie View, TX 77446, USA
Interests: signal/image/video processing and communication systems; intrusion detection systems for broadband sensor networks; wavelets and wavelet transforms analysis and applications; cybersecurity; artificial intelligence and machine learning; smart technologies for smart and connected cities; broadband (high-speed) communication systems; multispectral image analysis using wavelets
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

User privacy and data protection are important challenges that need to be addressed in Internet of Things (IoT)-based sensor applications. As IoT technologies become more closely integrated into everyday systems, lifestyles, and businesses, they generate a greater need for cybersecurity. Cybersecurity encompasses all the technology and operations needed to safeguard sensor devices and their respective platforms and networks from cyber-attacks. Privacy and cybersecurity are important considerations for IoT applications because IoT-based sensor devices can collect and store sensitive data. IoT technologies are rapidly gaining popularity in industrial and commercial environments and in personal life, with people utilizing smart sensor devices at home. The IoT spawns new businesses and makes buildings, cities, and transport smarter. It allows for ubiquitous data collection or tracking, but these useful features are also examples of privacy threats that are already limiting the success of the IoT vision when not implemented correctly. Privacy should be protected in the device, storage, communication, and processing. The use of the IoT in monitoring patient healthcare using sensors and devices comes with tremendous security concerns. Recent sophisticated attacks like data integrity, data breaching, and data collusion are major safety and confidentiality concerns related to IoT-based applications such as healthcare monitoring systems. In this Special Issue, we invite contributions to the latest advances in IoT technology, the developments of related algorithms, schemes, and architectures, and the various privacy and cybersecurity application issues.

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

  • Privacy and cybersecurity issues in IoT healthcare applications;
  • Data security and privacy in the IoT world;
  • Survey of cybersecurity and privacy issues of the Internet of Things;
  • Tagging data efficiently for managing privacy in the Internet of Things;
  • IoT privacy and cybersecurity in a connected world;
  • Privacy information security classification for IoT-based Data;
  • Cybersecurity, privacy, and trust for smart mobile devices in the Internet of Things;
  • Privacy, cybersecurity, and IoT-based wireless sensor networks;
  • Privacy and cybersecurity issues in IoT-based smart homes;
  • Ubiquitous data accessing method in IoT-based information systems for emergency medical services;
  • Privacy, cybersecurity, and Internet of Things in industries;
  • Privacy, cybersecurity, and Internet of Things for smart city applications.

Prof. Dr. Cajetan M. Akujuobi
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 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

  • privacy
  • cybersecurity
  • Internet of Things
  • privacy information security

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

30 pages, 853 KiB  
Article
Privacy-Conducive Data Ecosystem Architecture: By-Design Vulnerability Assessment Using Privacy Risk Expansion Factor and Privacy Exposure Index
by Ionela Chereja, Rudolf Erdei, Daniela Delinschi, Emil Pasca, Anca Avram and Oliviu Matei
Sensors 2025, 25(11), 3554; https://doi.org/10.3390/s25113554 - 5 Jun 2025
Viewed by 309
Abstract
The increasing complexity of data ecosystems demands advanced methodologies for systematic privacy risk assessment. This work introduces two complementary metrics—the privacy risk expansion factor (PREF) and the privacy exposure index (PEI)—to evaluate how architectural decisions influence the exposure and distribution of sensitive data. [...] Read more.
The increasing complexity of data ecosystems demands advanced methodologies for systematic privacy risk assessment. This work introduces two complementary metrics—the privacy risk expansion factor (PREF) and the privacy exposure index (PEI)—to evaluate how architectural decisions influence the exposure and distribution of sensitive data. Several representative use cases validate the methodology, demonstrating how the metrics provide structured insights into the privacy impact of distinct design choices. By enabling comparative analysis across architectures, this approach supports the development of privacy-first data ecosystems and lays the groundwork for future research on dynamic, AI-driven risk monitoring. Full article
(This article belongs to the Special Issue Privacy and Cybersecurity in IoT-Based Applications)
Show Figures

Figure 1

Back to TopTop