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SYNERGY 2024 : The 2nd International Workshop on Engineering Intelligent, Trustworthy, and Secure Internet of Things (IoT) Systems

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Link: https://emergingtechnet.org/FMEC2024/Workshops/SYNERGY2024/index.html
 
When Sep 2, 2024 - Sep 5, 2024
Where Malmö, Sweden
Submission Deadline Jun 30, 2024
Notification Due Jul 30, 2024
Final Version Due Aug 10, 2024
Categories    edge intelligence   engineering intelligent   cloud computing   internet of things
 

Call For Papers

Call for Papers

Welcome to the Second Workshop on Engineering Intelligent, Trustworthy, and Secure Internet of Things (IoT) Systems, SYNERGY 2024! This workshop aims to bring together a forum for experts, researchers, and practitioners from academia and industry to share their insights, ideas, and experiences on the design, development, and deployment of intelligent, trustworthy, and secure IoT systems. The workshop forum allows a discussion on the latest advancements, challenges, and opportunities in the field of IoT systems and Artificial In- telligence (AI). It paves the way for exploring innovative approaches and solutions that can address the pressing issues.

The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has ushered in a new era of innovative systems and services, commonly referred to as AIoT, in critical domains such as transportation, healthcare, building automation, and other es- sential infrastructure. AIoT systems have revolutionized data collection, processing, and decision-making by significantly reducing response times compared to human-dependent systems. However, these systems must be secure, preserve data privacy, and be trustwor- thy for human users to fully embrace them. Security is a crucial component of an AIoT system’s trustworthiness, alongside availability, accuracy, integrity, scalability, privacy, and reliability.

Novel techniques for evaluating AIoT systems’ trustworthiness.
Security challenges in AIoT systems
Software architectures and approaches for engineering trustworthy AIoT systems.
Security and privacy for AIoT systems.
Trustworthy deployment of AIoT systems across the Edge-Cloud continuum.
Human interaction with AIoT systems.
Trustworthy adaptations for AIoT systems.
Data collection and processing techniques for large-scale AIoT systems.
Blockchain for AIoT systems.
Testbeds for AIoT systems.
Routing protocols to ensure communication efficiency for AIoT systems.
Secure edge computing for AIoT systems.
Engineering secure IoT and IIoT systems.
Secure and trustworthy data sharing in IoT ecosystems.
Secure and trustworthy Internet of Drones (IoD).
Secure and trustworthy Internet of Vehicles (IoV).
Secure cross-devices Federated Learning, smart cities applications.
Federated Learning for IoT Forensics.
Collective and collaborative intelligence for AIoT security.
Generative AI for AIoT security.
Adversarial learning and secure AIoT.
Explainable AI for secure and trustworthy AIoT engineering.
Attack detection and mitigation in AIoT.
Predictive threat intelligence in AIoT.
AI regulations and implications in Cybersystems.

Organization Committee

Dr. Victor Kebande, Blekinge Institute of Technology, Sweden
Dr. Jianguo Ding, Blekinge Institute of Technonoly, Sweden
Dr. Abdelouahaid Derhab, King Saud University, Saudi Arabia

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