Website: http://www.swinflow.org/confs/2023/dependsys/

Key dates:
Submission Deadline:
September 15, 2023 (HST, Firm)

Notification: October 15, 2023
Final Manuscript Due: October 30, 2023

Submission site: http://www.swinflow.org/confs/2023/dependsys/submission.htm

Publication:
Proceedings will be published by IEEE CS Press. Distinguished papers will be invited to  special issues of selected journals listed on the conference website.

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Introduction
 
IEEE DependSys 2023 conference is the next event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems oftentend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical.
  
This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on.
    
Scope and Topics
Track 1: Dependability and Security Fundamentals and Technologies
– Concepts, theory, and methodologies
– Dependability of sensor, networks
– Dependability issues in cloud/fog/edge
– Security and privacy
– Security/privacy in cloud/fog/edge
– Artificial intelligence
– Big data foundation and management
– Dependable IoT supporting technologies

Track 2 : Dependable and Secure Systems
– Dependable sensor systems
– Dependability issues in distributed systems
– Cyber-physical systems
– Database and transaction processing systems
– Safety and security in distributed systems
– Dependability in automotive systems
– Dependability in big data systems
– Software system security
– Blockchain-based systems

Track 3: Dependable and Secure Applications
– Sensor and robot applications
– Big data applications
– Cloud/fog/edge applications
– Safety care, medical care and services
– Aerospace, transportation applications
– Energy, smart city, smart grid
– IoT, CPS and industrial application

Track 4 : Dependability and Security Measures and Assessments
– Metrics and measures for safety, trust, faith
– Levels and assessment criteria and authority
– Dependability measurement, modeling
– Dependability evaluation
– Software reliability and verification
– Hardware reliability and verification
– Evaluations and tools