会议网址：https://isssr25.techconf.org/
会议时间：April 12-13 2025 (2025年4月12-13日)
主 办：IEEE Reliability Society (IEEE 可靠性协会)
承 办：Anshun University (安顺学院)
会议介绍：
Security, safety, and reliabilityare 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 in 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 support need to be enhanced, but we also need new strategies and approaches to satisfy more strict requirements on system security, safety, and reliability. This symposium gives 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 provides 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. ISSSR 2025 will be held on April 12-13 in Anshun, China.
Topics of Interest
Topics of interest include, but are not limited to, the following that focus on system security, safety, and reliability:
Application of Artificial Intelligence, Machine Learning, and Deep Learning-based Techniques
Large Language Models-based Applications
Requirements, Architecture, and Design
Measurement, Estimation, and Prediction
Modeling and Optimization
Analysis, Simulation, and Validation
Formalization and Verification
Prognostics and Health Management
Testing and Quality Assurance
Fault Tolerance and Diagnosis
Process Improvement and Maintenance
Redundancy and Performance Evaluation
Data-Driven Techniques
Benchmark and Tools
Industrial Applications and Empirical Studies
