Society is increasingly dependent on the robust functioning of all types of computing systems. These systems include mobile/edge devices, networks, personal computers, and large-scale systems and critical infrastructures that provide services we use in our everyday lives for many applications and problems. Failure, incorrect operation, or compromise of computing systems and networks can have dire implications for the safety and security of human and other lives and the environment.

The Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) is devoted to the mission of ensuring that the computing systems and networks on which society relies are robust, i.e., dependable and secure.

DSN, one of the longest-running IEEE conferences organizing its 55th edition in 2025, has pioneered the fusion between dependability and security research under a common body of knowledge, understanding the need to simultaneously fight against accidental faults, intentional (malicious) attacks, design errors, and unexpected operating conditions. Its distinctive approach to both accidental faults and malicious attacks has made DSN the most prestigious international forum for presenting research that pushes the boundaries in the robustness and resilience of a wide spectrum of computing systems and networks.

All aspects of research and practice of computer system robustness (i.e., dependability and security) are within the scope of DSN. Relevant topics include but are not limited to: 1) innovative systems, architectures, protocols, and algorithms for preventing, detecting, diagnosing, eliminating, or recovering from accidental and malicious threats as well as 2) practical experimentation with and assessment of the robustness (dependability and security) of all types of computing systems and networks.

Authors are invited to submit original papers on all topics within this broad scope. Example topical areas include but are not limited to the following:

    Hardware (e.g., microprocessors, memory systems, systems on chip, I/O devices, storage systems, Trusted Execution Environments (TEEs), edge and mobile devices, data center infrastructure, hardware accelerators, emerging technologies, emerging paradigms like processing in memory & quantum computing)
    Software (e.g., applications, middleware, distributed algorithms, operating systems, software security, dependable software design)
    Networked systems and clouds (e.g., wireless networks, mobility, software-defined networking, edge computing, cloud computing/storage, networks on chip, network security)
    Autonomous systems (e.g., self-driving vehicles, autonomous robots, assured autonomy, explainable decision-making, acceptability, privacy issues)
    Cyber-physical systems (e.g., embedded systems, real-time control of critical systems, internet of things, smart grid, automotive, aerospace, railway, medical systems, security and safety of cyber-physical systems)
    Distributed ledgers/Blockchain (e.g., BFT/consensus algorithms, cryptocurrencies, decentralized storage, zero-knowledge proofs)
    AI/Machine Learning for resilient systems (e.g., robust, resilient, secure, and explainable AI/Machine Learning techniques; applications of AI/ML techniques for dependability and security, robustness issues in AI/ML systems)
    Models and methodologies for programming, evaluating, verifying, and assessing robust (dependable and secure) systems (e.g., performance and dependability evaluation, analytical and numerical methods, simulation, experimentation, benchmarking, verification, field data analysis)
    Emerging technologies and computing paradigms (e.g., robustness, security, dependability issues of emerging memory and storage systems, emerging computing paradigms like quantum computing, processing in memory/sensors/storage/network, 3-dimensional architectures, new hardware/software cooperative paradigms, emerging programming and system paradigms)