Special Issue "Privacy and Security for IoT Devices"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 30 September 2023 | Viewed by 543

Special Issue Editors

Department of Computer Science and Engineering, The Ohio State University, Columbus, OH 43210, USA
Interests: Bluetooth security; IoT security; mobile security; blockchain
School of Cyberspace Security, Xi’an University of Posts and Telecommunications, Xi’an 710061, China
Interests: public key cryptography; cloud security; network security
School of Cyberspace Security, Xi’an University of Posts and Telecommunications, Xi’an 710061, China
Interests: authentication; encryption; blockchain
College of Information Science and Technology and the College of Cyber Security, Jinan University, Guangzhou 510632, China
Interests: blockchain security and its applications; two-layer state channel; security and privacy

Special Issue Information

Dear Colleagues,

Internet of Things (IoT) systems continue to experience rapid growth and have been used in numerous applications (e.g., smart healthcare, smart home, smart grid). The number of IoT devices is expected to surpass that of mobile phones by 2025.  Clearly, it is unlikely that there will be no vulnerabilities in such a vast number of IoT devices.  As such, it is imperative to discover these vulnerabilities and fix them before they can be exploited. Meanwhile, a lack of proper protections would also expose critical facilities and Internet-connected IoT systems to widespread cyber-attacks (e.g., device fingerprinting attacks may threaten the privacy of the IoT devices). As such, IoT security and privacy is increasingly important for both societies and individuals.

To respond to this urgent call, in this Special Issue, we will discuss the possible attack surface of IoT devices by proposing the attacks with novel insights or performing measurement studies and case studies to understand the impacts of the attacks. We will propose novel detection methods, which can effectively identify a specific attack or a wide range of attacks against IoT devices. We will also propose and discuss the security protection of IoT devices. The Special Issue will present the state of the science for the most relevant problems in IoT security and privacy, and contribute to the IoT ecosystem in academic and industrial areas. We invite investigators to submit original research articles to this Special Issue.

Potential submission topics include but are not limited to the following:

  • Attacks against security and privacy of IoT devices with novel insights; 
  • Case studies on attacks against IoT devices;
  • Measurement studies on attacks against IoT devices with novel results;
  • Detection methods for IoT device vulnerabilities;
  • IoT protocol security;
  • Security and privacy protection for IoT devices;
  • Intrusion and anomaly detection for IoT devices.

Dr. Yue Zhang
Prof. Dr. Yinghui Zhang
Dr. Gang Han
Dr. Ming Li
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. Electronics 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 2000 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

  • IoT
  • IoT protocol security
  • intrusion

Published Papers (1 paper)

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Research

Article
Toward Privacy-Preserving Directly Contactable Symptom-Matching Scheme for IoT Devices
Electronics 2023, 12(7), 1641; https://doi.org/10.3390/electronics12071641 (registering DOI) - 30 Mar 2023
Viewed by 83
Abstract
The development of IoT devices has driven technological advancements across industries, especially in healthcare. IoT devices have brought many conveniences to patients, such as symptom matching, the real-time acquisition of health data, and online diagnosis. However, the development of the Internet of Things [...] Read more.
The development of IoT devices has driven technological advancements across industries, especially in healthcare. IoT devices have brought many conveniences to patients, such as symptom matching, the real-time acquisition of health data, and online diagnosis. However, the development of the Internet of Things also brings security and privacy challenges, which have attracted the attention of many scholars. In symptom matching, patients can communicate with patients similar to themselves through symptom matching, exchange treatment experiences, and encourage each other. However, matching in plaintext will pose a huge threat to user privacy, such as discrimination, which in turn affects job hunting, etc. Therefore, this paper proposes a symptom-matching scheme for IoT devices based on the Diffie–Hellman key agreement. Specifically, we construct and formally define the Switching Threshold Label Private Set Intersection (STLPSI) protocol based on the Diffie–Hellman key agreement and apply it for medical symptom matching. Our protocol can not only set the threshold of the same symptoms, but also patients who meet the threshold can obtain one another’s contact information. Furthermore, our scheme does not rely on any trusted third parties. Through security analysis and experiments, our scheme is shown to be effective in preserving privacy during symptom matching. Full article
(This article belongs to the Special Issue Privacy and Security for IoT Devices)
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