The 15th International Workshop on Security, Privacy, Trust for Internet of Things (IoTSPT 2025) will be held in conjunction with the The 34th  International Conference on Computer Communications and Networks (ICCCN 2025), in Tokyo, Japan. All papers presented in IoTSPT 2025 will be published in the workshop proceedings.

The Internet of Things (IoT) has emerged as a major technological revolution, with the potential to transform nearly every aspect of human life. From connected cars and smart homes to healthcare, smart retail, and supply chain management, IoT devices are being integrated into a wide range of applications. However, the rapid expansion of this interconnected network also brings significant security and privacy challenges.

The large influx of connected devices in the market introduces new vulnerabilities and opens new avenues for security attacks. The massive scale and variety of these devices also make it challenging for the manufacturers to design and implement manageable security and privacy solutions resulting in devices shipped without adequate security controls in place. Moreover, traditional security, privacy, and trust models have proven to be inefficient in addressing the unique constraints of the IoT ecosystem.

This workshop aims to foster discussions on research and developments in secure, privacy-preserving, and trust-based architectures for next-generation IoT systems. We invite contributions that explore models, protocols, algorithms, services, and applications designed to address the security and privacy challenges in IoT. We particularly encourage submissions that leverage innovative machine learning techniques to manage the issues of data volume and variety that are inherent in IoT platforms.

We plan to seek previously unpublished work in theoretical or experimental research, or work in-progress on topics including, but not limited to, the following:

·        Architectures and protocols for scalable, secure, robust and privacy enhancing IoT

·        Security and privacy frameworks for IoT

·        Cryptographic approaches for security and privacy in IoT

·        Trust frameworks and management models for IoT

·        Wireless security protocols for IoT

·        Threat and attack models in IoT

·        Intrusion and malware detection for IoT

·       Machine Learning for security and privacy in IoT

·        Machine learning for anomaly detection in IoT

·        Deep Learning for security in IoT

·        Privacy-preserving Edge Machine Learning in IoT

·        Privacy enhancing and anonymization techniques in IoT

·       Security using Federated Learning in IoT systems

·       Adversarial Attacks against Federated Learning in IoT systems

·       Blockchain algorithms and applications for IoT security and privacy

Important Dates

Papers submission:                   March 1, 2025  

Notification of acceptance:      May 10, 2025 

Workshop date:                     August 7, 2025

Further details on the workshop and submission process can be found at:

https://sites.google.com/uw.edu/iotspt2025

Workshop Chair

Geethapriya Thamilarasu, University of Washington Bothell (geetha@uw.edu)