IEEE DASC 2025 : The 23rd IEEE International Conference on Dependable, Autonomic and Secure Computing

=====================INTRODUCTION=========================

As computer and communication systems—alongside advanced paradigms such as Cyber-Physical Systems (CPS), the Internet of Things (IoT), and Autonomous Systems—grow increasingly large and complex, their dependability and security become paramount for enabling next-generation science, engineering, and commercial applications. Designing, analyzing, evaluating, and enhancing the dependability and security of autonomic computing environments present persistent challenges. Dependable, Autonomic, and Secure Computing (DASC) systems demand interdisciplinary research that integrates natural sciences, engineering, and social sciences. This convergence necessitates advancements in scientific and technological methodologies, as well as the development of innovative software, architectures, communication, and data platform technologies to seamlessly integrate constituent technologies. Notably, advanced AI techniques, such as Large Language Models (LLMs), play a pivotal role in autonomic systems, with embodied AI enabling adaptation, autonomous decision-making, and self-management. Ensuring that AI-driven solutions are trustworthy, dependable, and secure is equally essential.

IEEE DASC 2025 invites researchers, practitioners, and industry experts to submit papers exploring theoretical and practical advancements in dependable, autonomic, trustworthy, and secure computing, autonomous systems, and AI-driven solutions. The conference seeks to unite experts to exchange innovative ideas, discuss novel designs, share work-in-progress, and present case studies on emerging trends in these domains.

=====================TRACKS AND TOPICS====================

Track 1: Dependability, Reliability and Fault Tolerance
- Fault-tolerant HW and SW architectures
- HW and SW reliability, verification and testing
- Reliability modeling and prediction for complex systems
- Highly Reliable Systems achieving stable performance
- Resilience engineering in CPS
- Redundancy design for critical infrastructure
- Dependability metrics and evaluation frameworks

Track 2: Security, Privacy, and Trust in Systems and Networks
- Intrusion detection, prevention and mitigation in networked
environments
- Security modeling, auditing and compliance in safety-critical
systems
- Self-adaptive security architecture, techniques, and
algorithms
- Security protocols for CPS, IoT, and autonomous systems
(e.g., vehicles, drones, robots)
- Data protection for networked systems and storage systems
- Privacy-preserving techniques for distributed and autonomous
systems
- Blockchain for trustworthy and secure system design
- Cryptographic methods for secure computing, storage and
communication

Track 3: Autonomic Computing and Self-Adaptive Systems
- Self-adaptive SW architectures for autonomic computing
- Adaptive computing, communication, and resource allocation
for autonomic systems
- Self-healing mechanisms for autonomic systems
- Autonomic decision-making under uncertainty
- Embodied AI for physical system adaptation
- Self-optimization for energy-efficient autonomic systems
- Modeling and SVT & V of self-adaptive behaviors

Track 4: AI, Machine Learning, and Advanced Computational
Methods
- AI-driven threat prediction, anomaly detection, fault
detection and diagnosis
- Large Language Models (LLMs) for system specification and
verification
- Data platforms leveraging and powering AI
- Quantum computing applications in dependability analysis
- Generative AI for synthetic test case generation
- Explainable AI for trustworthy autonomic computing
- Trustworthy and safe AI-empowered systems

Track 5: Industrial Applications and Case Studies
- Dependability and security solutions in safety-critical
control systems in transportation and aerospace industries
- Autonomous systems in industrial IoT deployments
- Case studies on CPS reliability in manufacturing
- Lessons learned from autonomous vehicle system deployments
- Real-world applications of trustworthy AI in various
industrial sectors

=====================IMPORTANT DATES======================

Workshop/SS Proposal Due: May 20, 2025
Regular Paper Submission Due: Jul. 11, 2025
WiP/Workshop/SS Paper Due: Jun. 20, 2025
Author Notification: Aug. 11, 2025
Paper Registration: Sep. 05, 2025
Camera-ready Submission Due: Sep. 12, 2025

=====================SUBMISSION INSTRUCTION===============

Authors are invited to submit their original research work that has not previously been submitted or published in any other venue. Regular papers, work-in-progress (WiP) papers, workshop papers, and special session papers must be submitted in the IEEE Computer Society Proceedings format. IEEE formatting info:

http://www.ieee.org/conferences_events/conferences/publishing/te
mplates.html

AAll accepted papers will be published by IEEE in the Conference Proceedings (indexed by IEEE Xplore Digital Library and EI). Best Paper Awards will be presented to high-quality submissions. Selected papers will be recommended for publication in prestigious journal special issues.

Some papers originally submitted as full papers may be accepted as short papers during the review process. In such cases, authors will be required to revise and shorten their papers accordingly for the camera-ready version.

At least one author of each accepted paper is required to register for and present the paper at the conference.

- 6-8 pages for Regular papers
- 4-6 pages for WiP/Workshop/Special Session papers
- 2-4 pages for Poster papers

=====================ORGANIZING COMMITTEE=================

-Honorary Chairs-
- Tadashi Dohi, Hiroshima University, Japan

-General Chairs-
- Naohiro Hayashibara, Kyoto Sangyo University, Japan
- Moayad Aloqaily, Mohamed Bin Zayed University, UAE

-General Executive Chairs-
- Bernady O. Apduhan, Kyushu Sangyo University, Japan
- Xiaohong Jiang, Future University Hakodate, Japan

-Program Chairs-
- Takaki Nakamura, Tohoku University, Japan
- Zonghua Zhang, CRSC Co., China

-Program Co-chairs-
- Junjun Zheng, Hiroshima University, Japan
- Luis Guillen, Tohoku University, Japan
- Thomas TY Win, University of Sunderland, UK

-WiP/LBI/Poster Session Chairs-
- Junichi Funasaka, Hiroshima City University, Japan
- Songpon Teerakanok, Mahidol University, Thailand

-Workshop & Special Session Chairs-
- Noriaki Kamiyama, Ritsumeikan University, Japan
- Paramin Sangwongngam, NECTEC, Thailand

-Publicity Chairs-
- Anna Kobusinska, Poznan University of Technology, Poland
- Liqiang Wang, University of Central Florida, USA
- Toshiyuki Miyachi, NICT, Japan
- Zhuotao Lian, Hiroshima University, Japan

-Steering Committee-
- Jianhua Ma, Hosei University, Japan
- Laurence T. Yang, St. Francis Xavier University, Canada
- Yuanshun Dai, Univ. of Elec. Sci. & Tech. of China
- Tadashi Dohi, Hiroshima University, Japan
- Md Zakirul Alam Bhuiyan, Fordham University, USA

Program Committee:

Please check the "Program Committee" web page on the conference
website for details:

http://cyber-science.org/2025/dasc/tpc/

Contact: Please email inquiries concerning DASC 2025 to
Dr. Luis Guillen: lguillen AT tohoku DOT ac DOT jp.