IEEE DependSys 2022 conference is the 8th 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:

Topics of interest include, but are not limited to:

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