Special Issue "Information Security Technology for the Internet of Things"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 February 2024 | Viewed by 205

Special Issue Editors

School of Cyber Science and Engineering, Sichuan University, Chengdu 610065, China
Interests: data-driven security; network security; threat intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Weina Niu
E-Mail Website
Guest Editor
Institute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China
Interests: software security; network security
School of Cybersecurity, Northwestern Polytechnical University, Xi’an 710072, China
Interests: Internet of Things; cyber security; federated learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of the Internet of Things (IoT), information security issues have become increasingly severe. A large number of IoT devices being connected to a network provides a huge attack surface for network attacks and information leaks. Many researchers have aimed to utilize the latest techniques to achieve effective information security defense for the IoT. Many advanced methods such as natural language processing, information theory, and artificial intelligence techniques have already been widely used in specific areas. However, due to how rapidly the technology is evolving and new situations are being created, there are still many unsolved issues, such as IoT device security detection, threat intelligence extraction, malware classification, and attack attribution.

Therefore, this Special Issue intends to explore new approaches and perspectives on IoT security topics. This Special Issue will focus on (but is not limited to) the following topics:

  • IoT device security detection;
  • IoT threat intelligence extraction;
  • IoT system malware classification; 
  • IoT system or network attack attribution;
  • IoT system vulnerability mining and analysis;
  • IoT privacy data leak detection and classification;
  • IoT social network analysis.

Dr. Cheng Huang
Dr. Weina Niu
Dr. Libin Yang
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. Applied Sciences 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 2300 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.


  • IoT security technology
  • network security
  • system security
  • privacy security
  • social network analysis

Published Papers

This special issue is now open for submission.
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