Información de la conferencia

DASC 2026: International Conference on Dependable, Autonomic and Secure Computing

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DASC
Día de Entrega:
2026-07-15 Faltan 2 días
Fecha de Notificación:
2026-09-01
Fecha de conferencia:
2026-11-09
Ubicación:
Melbourne, Australia
Ediciones:
ICORE: C   QUALIS: B3   Vistas: 41150   Seguidores: 13   Asistentes: 2

Solicitud de Artículos

DASC 2026 (International Conference on Dependable, Autonomic and Secure Computing) is a ICORE C / QUALIS B3 conference held in Melbourne, Australia on 2026-11-09. The paper submission deadline is 2026-07-15. Acceptance notifications are sent on 2026-09-01.

Track 1. Dependability, Reliability, and Fault Tolerance • Fault-tolerant hardware and software architectures • Hardware and software reliability, verification and testing • Reliability modeling and prediction for complex systems • Highly Reliable Systems achieving stable performance • Resilience engineering in Cyber-Physical Systems (CPS) • Redundancy design for critical infrastructure • Dependability metrics and evaluation frameworks • Simulation, verification, testing, and validation for autonomous systems Track 2. Security, Privacy, and Trust in Systems and Networks • Intrusion detection, prevention, and mitigation in networked environments • Security modeling, auditing, and compliance in safety-critical systems • Self-adaptive security architecture, techniques, and algorithms • Security protocols for CPS, IoT, and autonomous systems (e.g., vehicles, drones, robots) • Data protection for networked systems and storage systems • Privacy-preserving techniques for distributed and autonomous system • Blockchain for trustworthy and secure system design • Cryptographic methods for secure computing, storage, and communication • Post-quantum cryptography for future-proof security • Trust management in distributed and autonomous systems Track 3. Autonomic Computing and Self-Adaptive Systems • Self-adaptive software architectures for autonomic computing • Adaptive computing, communication, and resource allocation for autonomic systems • Self-healing mechanisms for autonomic systems • Autonomic decision-making under uncertainty • Embodied AI for physical system adaptation • Self-optimization for energy-efficient autonomic systems • Modeling and STV & V of self-adaptive behaviors Track 4. AI, Machine Learning, and Advanced Computational Methods • AI-driven threat prediction, anomaly detection, fault detection and diagnosis • Large Language Models (LLMs) for system specification and verification • Data platforms leveraging and powering AI • Quantum computing applications in dependability analysis • Generative AI for synthetic test case generation • Explainable AI for trustworthy autonomic computing • Trustworthy and safe AI-empowered systems Track 5. Industrial Applications and Case Studies • Dependability and security solutions in safety-critical control systems in transportation and aerospace industries • Autonomous systems in industrial IoT deployments • Case studies on CPS reliability in manufacturing • Lessons learned from autonomous vehicle system deployments • Real-world applications of trustworthy AI in various industrial sectors
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