Call for Contributions

The Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) is the most prestigious international forum for presenting research results in the field of dependable computing. Authors are invited to submit original papers on the research and practice of creating, validating, deploying, and maintaining dependable and secure systems and networks.
All aspects of dependable and secure systems and networks are within the scope of DSN including innovative architectures, protocols and algorithms as well as experimentation with and assessment of dependable and secure systems.

DSN's current thematic areas of emphasis are:

Hardware (e.g. microprocessors; VLSI; storage systems; and nanoscale systems)
Software (e.g. applications; middleware; and operating systems)
Cyber-physical systems (e.g. embedded systems; networked embedded systems; SCADA; automotive, aerospace, and medical systems; and smart grid)
Socio-technical systems (e.g. virtual worlds; human-computer interaction; usable security; and online social networking)
Clouds (e.g. cloud storage, computing, platforms, and applications)
Networks (e.g. wireless networks; mobility; next-generation networks; and software-defined networking)
Models and methodologies for programming, evaluating, and assessing dependable and secure systems (e.g. performance, dependability and security evaluation; analytical and numerical methods; simulation; experimentation; benchmarking; verification; field data analysis; and data mining techniques)
DSN welcomes research papers, practical experience papers, and tool descriptions in any of these thematic areas. Innovative papers in other areas of dependable and secure systems and networks will also be considered. Papers will be assessed with criteria appropriate to each category. The conference favors work that explores new territory, continues a significant research dialogue, or reflects on experience with (or measurements of) state-of-the-art implementations. Submissions will be judged on originality, significance, correctness and impact.