The society today is increasingly dependent on the correct functioning of computer systems, edge devices and networks for systems and services we use every day, such as aviation, energy production & power grids, intelligent/autonomous vehicles, medical devices & electronic health records, and many others.
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 dependable and secure.
DSN, one of the longest running IEEE conferences organizing its 51st edition in 2021, 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 cyber-attacks, design errors, and unexpected operating conditions. Its distinctive approach to both accidental and malicious faults made DSN the most prestigious international forum for presenting research furthering robustness and resilience of today’s wide spectrum of computing systems and networks.
All aspects of the research and practice of dependability and applied security are within the scope of DSN. Relevant topics include innovative architectures, protocols, and algorithms, for preventing, detecting, recovering, diagnosing or eliminating accidental and malicious threats as well as experimentation with and assessment of dependable and secure systems and networks.
Authors are invited to submit original papers on the current thematic areas of DSN:
* Hardware (e.g., microprocessors, memories, system on chip, I/O devices, storage systems, trusted computing)
* Software (e.g., applications, middleware, distributed algorithms, operating systems, blockchains)
* Networks (e.g., wireless networks, mobility, software-defined networking, edge computing, networks on chip, network security)
* Clouds (e.g., cloud storage, computing, platforms, applications, cloud security and privacy)
* Cyber-physical systems (e.g., embedded systems, real-time control of critical systems, internet of things, smart grid, automotive, aerospace, railway, medical systems)
* Autonomous systems (e.g., resilient AI/Machine Learning based systems, self-driving vehicles, autonomous robots, assured autonomy, explainable decision making, acceptability)
* Models and methodologies for programming, evaluating, verifying, and assessing dependable and secure systems (e.g., performance and dependability evaluation, analytical and numerical methods, simulation, experimentation, benchmarking, verification, field data analysis)