Security, safety, and reliability are the three most important attributes of a system. This is especially the case for mission-critical and life-threatening systems. While security prevents systems from being attacked via potential vulnerabilities, safety ensures systems do not end at any undesired state and cause unacceptable consequences. Reliability is the probability of failure-free system operation for a given period of time in a specified environment. As the complexity of many systems continues to grow, how to ensure security, safety, and reliability becomes absolutely imperative. Not only do the existing technologies and tool supports need to be enhanced, but we also need new strategies and approaches to satisfy more strict requirements on system security, safety, and reliability. In response to this challenge, the Steering Committee of ISSSR has decided to change the conference name from International Symposium on System and Software Reliability to International Symposium on System Security, Safety, and Reliability. The acronym is still the same, but the full name has been slightly modified to emphasize the importance of security, safety, and reliability of many systems.

This symposium provides scientists and engineers from both industry and academia a platform to present their ongoing work, relate their research outcomes and experiences, and discuss the best and most efficient techniques for the development of secure, safe, and reliable systems. It also represents an excellent opportunity for the academic community to become more aware of subject areas critical to the industry as practitioners bring their needs to the table.

Topics of Interest

Topics of interest include, but are not limited to, the following that focus on system security, safety, and reliability:

* Requirements, Architecture, and Design
* Measurement, Estimation, and Predication
* Modeling and Optimization
* Analysis, Simulation, and Validation
* Formalization and Verification
* Testing and Quality Assurance
* Fault Tolerance and Diagnosis
* Process Improvement and Maintenance
* Redundancy and Performance Evaluation
* Data-Driven and AI/Machine Learning Techniques
* Benchmark and Tools
* Industrial Applications and Empirical Studies