The SecIUAS 2023 workshop is scheduled on November 7, 2023 and will be held at Nagoya, Japan.

SecIUAS 2023 will be co-located with the 13th International Conference on the Internet of Things (IoT 2023).

Recent advances in artificial intelligence, sensing, communication, computation and storage techniques have improved the way Unmanned Autonomous Systems (UAS) interact, exchange and process information. In recent years, Intelligent Unmanned Autonomous Systems (IUAS), such as unmanned vehicles, unmanned aerial vehicles (UAV) and robots, have emerged for various applications without surveillance by humans. Yet, the success, prosperity and advancement of these intelligent systems strongly depend on the security and safety of the cyber-physical devices, system software, and application software. These systems are prone to suffering from various security and safety issues, such as hardware defects, system and application vulnerabilities, network eavesdropping, side-channel attacks and so on. These successful attacks targeted the IUAS do not only affect the security of information but also the safety of the system, which may lead to the malfunction of systems with severe financial, environmental and health losses. The goal of the 2023 SecIUAS workshop is to bring together internationally leading academic and industrial researchers in an effort to identify and discuss the major technical challenges and recent results to meet the security and safety requirements of future IUAS applications in various fields.

Accepted Papers
Title Authors
Examining Privacy and Trust Issues at the Edge of Isomorphic IoT Architectures: Case Liquid AI Mamia Agbese, Niko Mäkitalo, Muhammad Waseem, Rahul Mohanani, Pekka Abrahamsson, Tommi Mikkonen
TEE-Assisied Time-Scale Database Management System on IoT devices Jinjin Wang, Yizhou Du, Xiangyu Wang, Chengyan Ma, Di Lu, Ning Xi
A Review on Feature, Problem Formulation and Application of Radio Frequency Fingerprinting Yin Chen, Jia Zhen, Zewei Guo, Jinxiao Zhu, Xiaohong Jiang
SEBD: Sensor Emulation Based Backdoor for Autopilot Yue Wang, Chao Yang, Ning Xi, Yulong Shen, Jianfeng Ma
Important Dates (AoE)
  • Submission deadline: September 30, 2023. Delay to October 7, 2023.

  • Notification of acceptance: October 20, 2023.

  • Camera-ready submission: October 30, 2023.


Jianfeng Ma

Xidian University (China)

Xiaohong Jiang

Future University Hakodate (Japan)

Program Committee

Ning Xi

Xidian University (China)

Zhiwei Zhang

Xidian University (China)

Yin Chen

Keio University (Japan)

Jinxiao Zhu

Toyo University (Japan)

Zhenqiang Wu

Shaanxi Normal University (China)

Weidong Yang

Hangzhou Institude of Technology, Xidian University (China)

Zhibin Zheng

Pengcheng Laboratory (China)

Dawei Wei

Xidian University (China)

Huihui Wu

Tsinghua University (China)


If you have any problems or questions, please contact us via e-mail at: weidawei@xidian.edu.cn , cyma@stu.xidian.edu.cn