2026 IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications

Luoyang, Henan, China

October 29 - November 02, 2026

Important Dates


Paper Submission
July 15, 2026
August 05, 2026

Author Notification
September 10, 2026
September 15, 2026

Camera-Ready Submission
September 30, 2026

Registration Due
September 30, 2026
October 20, 2026

Conference Dates
October 29 - November 02, 2026

Organizing Committee


General Chairs
Witold Pedrycz, University of Alberta, Canada
Zheng Yan, Xidian University, China

Program Chairs
Elena Ferrari, University of Insubria, Italy
Sheng Wen, Swinburne University of Technology, Australia
Weizhi Meng, Lancaster University, UK

Executive Chairs
Xueqin Liang, Xidian University, China
Zecan Yang, Zhengzhou University, China
Xuyang Jing, Xidian University, China

Publication Chair
Dan Wang, Xidian University, China

Web Chair
Jiawei Wang, Warwick University, UK

Steering Chairs
Laurence T. Yang, Zhengzhou University, China
Jie Wu, Temple University, USA
Zakirul Alam Bhuiyan, Fordham University, USA

Join us at the 2026 IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications

IEEE DependSys-2026 is part of a well-established conference series that provides a premier forum for researchers, engineers, and practitioners to present and exchange new ideas, techniques, and solutions related to dependability in sensor, cloud, and big data systems and applications. With the rapid advancement of the Information Age, massive volumes of data are generated daily from sensors, personal archives, social networks, the Internet of Things, enterprises, and the Internet in diverse scales and formats. These developments pose significant challenges to the dependability of modern computing systems. Over time, such systems often tend to become inert, fragile, and vulnerable, making the improvement of dependability increasingly critical.

The conference aims to bring together individuals, academics, practitioners, and organizations involved in the design, development, and deployment of dependable computing systems. Future systems must address the dependability gap under a wide range of conditions and challenges. The conference will emphasize key properties of dependable systems, including continuity, performance efficiency, real-time responsiveness, anomaly detection, resistance to corruption, prevention of catastrophic failures, protection against privacy intrusions, as well as reliability, availability, sustainability, adaptability, heterogeneity, security, and safety.

IEEE DependSys-2026 will be held in Luoyang, China, a historic city renowned for its rich cultural heritage and as one of the ancient capitals of China. The city features world-famous landmarks such as the Longmen Grottoes and the White Horse Temple, offering an inspiring environment that blends tradition with modern innovation.

Prospective authors are invited to submit their papers to DependSys-2026. Accepted papers will be submitted for inclusion into IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements. Authors of selected best papers will be invited to extend their work for special issues of prestigious journals planned in conjunction with the conference.

Topics of interest include, but are not limited to:

  • Track 1: Dependability and Security Fundamentals and Technologies
    • Concepts, theory, and methodologies
    • Dependability of sensor, networks
    • Dependability issues in cloud/fog/edge
    • Security and privacy
    • Security/privacy in cloud/fog/edge
    • AI for dependability and security
    • Big data foundation and management
    • Dependable IoT supporting technologies
  • Track 2: Dependable and Secure Systems
    • Dependable sensor systems
    • Dependability issues in distributed systems
    • Safety and security in distributed systems
    • Dependability in big data systems
    • Dependability in automotive systems
    • Blockchain-based systems
    • Software system security
    • Dependability and security of LLMs
  • Track 3: Dependable and Secure Applications
    • Sensor and robot applications
    • Big data applications
    • Distributed computing on embedded devices
    • Privacy in mobile and wireless communications
    • Cloud/fog/edge applications
    • IoT, CPS and industrial application
    • LLM-enabled applications
    • Agent-based and multi-agent applications
  • Track 4: Dependability and Security Measures and Assessments
    • Metrics and measures for safety, trust, faith
    • Levels and assessment criteria and authority
    • Dependability measurement, modeling
    • Dependability evaluation
    • Software reliability and verification
    • Hardware reliability and verification
    • Evaluations and tools and frameworks
    • LLM-assisted dependability evaluation

Paper Submission

All papers need to be submitted electronically through the conference submission website (https://edas.info/N35262) in PDF format. The materials presented in the papers should not be published or under submission elsewhere. All submissions will undergo a single-blind peer-review process and will be evaluated on the basis of their technical quality, originality, significance, and relevance to the conference. Each paper is limited to 8 pages (or 10 pages with over-length charge) for a regular full paper, 6 pages (or 8 pages with over-length charge) for a full paper including figures and references using the IEEE Computer Society Proceedings manuscripts style.

Paper Publication

Papers accepted by IEEE DependSys 2026 conference will be published by the IEEE Computer Society Press. At least one author of each accepted paper is required to register and present their work at the conference; otherwise, the paper will not be included in the proceedings. All accepted papers will be submitted to IEEE Xplore and EI. Distinguished papers presented at the conference, after further revision, will be invited for submission to a special issue.

Sponsored and Organized by

IEEE
IEEE CS
IEEE TCSC
IEEE HI TC
IEEE CPSS
IETI
Zhengzhou University
Xidian University