The scope of this workshop involves the exploration of the critical domain of securing and preserving privacy within the Internet of Things (IoT) landscape. In an era rich with interconnected devices, ensuring robust security measures and safeguarding user privacy have emerged as paramount concerns. The need to strengthen security measures against evolving threats has become imperative. The interconnected nature of IoT systems introduces a myriad of vulnerabilities, ranging from insecure communication channels to compromised data integrity. Moreover, the vast volumes of sensitive data generated by IoT devices necessitate robust privacy-preserving techniques to safeguard user information from unauthorised access and exploitation.

The aim is to bring together cutting-edge research and innovative solutions that address the multifaceted challenges posed by IoT security and privacy. It explores the complexities inherent in securing the vast number of interconnected devices while maintaining user privacy across diverse IoT ecosystems. Additionally, it investigates the pivotal role played by emerging computing paradigms such as Cloud, Edge, and Fog computing in fortifying security measures and mitigating privacy risks within IoT environments.

Contributions to this workshop cover a wide range of topics including, but not limited to, the following:
1. Threats and vulnerabilities in IoT systems;
2. Privacy-preserving techniques for IoT data;
3. Blockchain for privacy and security in IoT;
4. Authentication and access control mechanisms;
5. Intrusion detection and prevention systems for IoT;
6. Compliance and regulatory frameworks for IoT security and privacy;
7. Artificial Intelligence/Machine Learning for privacy and security in IoT;
8. Federated learning techniques for decentralised IoT systems;
9. Integration of Cloud, Edge, and/or Fog computing in IoT security architectures;
10. Lightweight cryptography and ML in the IoT;
11. Zero-day attack detection and trust management in IoT;
12. Case studies and real-world applications demonstrating effective IoT security measures.