DSN 2023

53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks

"Over the years DSN has become a forum to present the best world research in the fusion between dependability and security research, understanding the need to simultaneously fight against accidental faults, intentional cyber-attacks, design errors, and unexpected operating conditions."

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 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 on safety and security of human and other lives as well as 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 53rd edition in 2023, 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 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.