AiS-IoT 2021

The First Workshop on Artificial Intelligence based Security for Internet of Things

July 7 - July 10, 2021, Washington DC, USA

Co-located with 41th IEEE International Conference on Distributed Computing Systems (ICDCS 2021)

Important Dates

Paper submission:March 5, 2021
Notification of acceptance: April 2, 2021
Camera-ready paper due:April 20, 2021
Workshop date:July 7, 2021

Workshop Organizers

Yubin Zhao, Sun Yat-Sen University, China
Huaming Wu, Tianjin University, China; whming@tju.edu.cn
Xiaofan Li, Jinan University, China; lixiaofan@jnu.edu.cn

Program Committee (tentative)

Bin Liu, University of Strathclyde, UK
Chaogang Tang, China University of Mining and Technology, China
Haneul Ko, Korea University, Korea
Junqing Zhang, University of Liverpool, UK
Ji Qi, University of Amsterdam, Netherlands
Long Cheng, Dublin city university, Ireland
Mohammad Goudarzi, The University of Melbourne, Australia
Minxian Xu, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Monowar Hasan, Wichita State University, Wichita, KS
Muhammed Tawfiqul Islam, The University of Melbourne, Australia
Kai Peng, Huaqiao University, China
Shashikant Ilager, The University of Melbourne, Australia
Shaohua Wan, Zhongnan University of Economics and Law, China
Xiaolong Xu, Nanjing University of Information Science and Technology, China
Ying Liu, University of Glasgow, UK
Yuemin Ding´╝îNorwegian University of Science and Technology, Norway
Zhiwei Lin, Ulster University, UK
Zhi Zhou, Sun Yat-sen University, China

Call for Papers

Click here to download AiS-IoT2021 CFP in PDF

Due to the ever-increasing growth of Internet of Things (IoT) devices and applications, wireless communications, edge-cloud computing, task control and service implementations are fused together, which makes the security situations are far more complicated than ever before. Thus, a high level of security and privacy are critical for both systems and end users. The recent progress of artificial intelligent methods, e.g., deep learning, reinforcement learning, federal learning, provide fine and accurate decision makings and adaptations to address the complicated security issues of IoT systems. However, how to customize and implement the AI based techniques for security in IoTs are still under discussion. Such techniques in the security research field are still immature and inefficient.

The goal of the AiS-IoT Workshop is devoted to the most recent developments of AI based technologies for IoT security and privacy. Industry experience reports and empirical studies are also welcome. We aim to bring together researchers and practitioners to discuss the latest advancements and identify further challenges for security issues in IoTs that must be overcome. Topics of interest include, but are not limited to, the following:

The workshop welcomes submissions that cover, but are not limited to, the following topics:

  • Physical Layer Securities: Securities using AI for physical layer security in 5G wireless communications, mmWave communications, THz communications, NB-IoT, Localizations, and Reconfigurable Intelligence Surfaces.
  • Learning-based Approaches: General AI and machine learning theories and algorithms for IoT security applications, e.g., deep learning, reinforcement learning, federal learning, transfer learning, lifelong learning.
  • Security for Platforms: IoT related platforms, including Edge Computing, Fog Computing, Cloud Computing assisted with AI methods.
  • Decision Making: Intelligent decision making for potential security risks in task offloading, resource allocation, profiling, modelling, content caching.
  • Hardware and SoC Designs: Special AI or security chip designs for IoT devices, gateway, middleware, accelerators, or edge computing servers.
  • Performance Modelling, Evaluation and Optimization: Deep learning driven latency and energy consumption model for security issues, joint security, energy consumption and performance multi-objective optimizations.
  • Security for Emerging IoT Applications: securities in Industrial IoT systems, UAV, Autonomous Vehicle, Robots and Passive Sensors equipped with wireless power transfer techniques.

  • Extended versions of the best papers will be considered for possible publication in .

Paper Submission:

  • Submitted manuscripts must be formatted in standard IEEE camera-ready format (double-column, 10-pt font) and must be submitted via EasyChair as PDF files (formatted for 8.5x11-inch paper). The manuscripts should be no longer than 6 pages. Two additional pages are permitted if the authors are willing to pay an over-length charge at the time of publication (manuscripts should not exceed 8 pages). Submitted papers cannot have been previously published in or be under consideration for publication in another journal or conference. The workshop Program Committee reserves the right to not review papers that either exceeds the length specification or have been submitted or published elsewhere. Submissions must include a title, abstract, keywords, author(s) and affiliation(s) with postal and e-mail address(es).

Review and Publication of Manuscripts:

  • Submitted papers will be reviewed by the workshop Program Committee and judged on originality, technical correctness, relevance, and quality of presentation. An accepted paper must be presented at the ICDCS 2021 venue by one of the authors registered at the full registration rate. Each workshop registration covers up to two workshop papers by an author. Accepted and presented papers will be published in the ICDCS proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. IEEE reserves the right to exclude a paper from distribution after the conference, including IEEE Xplore┬« Digital Library if the paper is not presented by the author at the conference.

Keynote Speakers

List of Accepted Papers

The proceeding is available here.


Time July 7-10


  • Please note that at least one author of each accepted paper needs to register and present the paper at the workshop.
  • Please register: here

  • Venue

    • Please refer to ICDCS 2021 for hotel and travel information.

    AiS-IoT 2021 - Washington DC, USA - July 7 - 10, 2021

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