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

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 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.

The thematic coverage of the event includes, but is not restricted to, the following topics: fault tolerance, security and privacy, autonomic computing and machine learning.