The 12th International Workshop on Security, Privacy, Trust for
Internet of Things (IoTSPT 2022) will be held in conjunction with the
The 31st International Conference on Computer Communications and
Networks (ICCCN 2022), in Honolulu,
Hawaii. All papers presented in IoTSPT 2022 will be published in the
workshop proceedings.

The organizers of the workshop will invite authors of outstanding
papers to submit extended versions of their papers for publication in
a Special issue, with a publication date of early 2023.

Internet of Things (IoT) has emerged as the next big technological
revolution in computing in recent years with the potential to
transform every sphere of human life. With an expanding network of
interconnected Internet-enabled devices, IoT devices are used in a
range of applications from connected cars, smart homes, healthcare,
smart retail, to supply-chain management. The rise of this
transformative technology is however deeply mired with security and
privacy concerns.  This workshop aims to promote discussions of
research and relevant activities in the models and design of secure,
privacy-preserving, or trust architectures, data analyses and fusion
platforms, protocols, algorithms, services, and applications for next
generation IoT systems. We especially encourage security and privacy
solutions that employ innovative machine learning techniques to tackle
the issues of data volume and variety problems that are systemic 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  We plan to seek previously unpublished work in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
*        End-to-end system security models for IoT
*        Machine Learning for security and privacy in IoT
*        Machine learning for anomaly detection in IoT
*        Machine learning to analyze cryptographic protocols for IoT
*        Deep Learning for security in IoT
*        Privacy-preserving Edge Machine Learning in IoT
*        Privacy enhancing and anonymization techniques in IoT
*        Attack against Federated Learning in IoT Systems
*        Security and privacy of IoT in Healthcare
*        Quantum solutions for IoT security

Important Dates
Papers submission:                    March 13, 2022
Notification of acceptance:       April 24, 2022 (Hard Deadline)
Camera-ready paper due:         May 4, 2022 (Hard Deadline)
Workshop date:                           July 28, 2022

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

Workshop Co-Chairs
Geethapriya Thamilarasu, University of Washington Bothell (
Abhishek Parakh, University of Nebraska at Omaha