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Special Issue "Intelligent and Adaptive Security in 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: 1 October 2020.

Special Issue Editors

Dr. Hyoungshick Kim
Guest Editor
Department of Computer Science and Engineering, College of Computing, Sungkyunkwan University, Seoul, Korea
Interests: user authentication; usable security; data-driven security
Special Issues and Collections in MDPI journals
Dr. Jin B. Hong
Guest Editor
Department of Computer Science and Software Engineering, University of Western Australia, Perth, Australia
Interests: moving target defense; security assessment; dynamic security metrics
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Advances in emerging networking technologies, artificial intelligence (AI), and machine learning (ML) have attracted an enormous amount of attention to the Internet of Things (IoT) in both academia and industry. Various smart services (e.g., smart city, connected car, smart healthcare, smart factory, smart home, smart wearable) have been introduced and discussed in the context of IoT with their endless potential to change our lives positively. However, they also introduce cybersecurity hazards and threats that had not previously been seen or anticipated. For example, a massive amount of data collected from IoT sensors could be an attractive target for attackers, such as adversarial ML. Moreover, DDoS attacks using IoT botnets, such as Mirai botnet, would become a serious issue in the IoT world. To address these issues, we need intelligent, adaptive, and more robust solutions to analyze and mitigate potential security threats in IoT.

This Special Issue aims to report high-quality research in recent advances in intelligent and adaptive security and privacy solutions for IoT. Topics of interest include but are not limited to those covered by the keyword list below.

  • AI and ML techniques for securing IoT;
  • Cyber threats and incident analysis in IoT;
  • Data-driven security for IoT;
  • Intrusion and anomaly detection in IoT;
  • Risk identification and assessment in IoT;
  • Adversarial machine learning in IoT;
  • Collaborative learning for IoT;
  • Malware and botnets in IoT.

Dr. Hyoungshick Kim
Dr. Jin B. Hong
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 papers will be 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 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.


  • security
  • AI
  • IoT

Published Papers

This special issue is now open for submission.
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