The 14th International Workshop on Security, Privacy, Trust for Internet of Things (IoTSPT 2024) will be held in conjunction with the The 33rd International Conference on Computer Communications and Networks (ICCCN 2024), in Big Island, Hawaii. All papers presented in IoTSPT 2024 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 2025.
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.
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. Traditional security, privacy and trust-based solutions are also found to be inefficient against the various constraints of the IoT environment.
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We plan to seek previously unpublished work in theoretical or experimental research, or work in-progress on topics including, but not limited to, the following: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
· 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
Papers submission: March 29, 2024 (HARD DEADLINE)
Notification of acceptance: May 9, 2024
Camera-ready paper due: May 10, 2024
Workshop date: July 31, 2024
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Geethapriya Thamilarasu, University of Washington Bothell
Amit Kumar Sikder, Georgia Institute of Technology
Cristina Alcaraz, University of Malaga, Spain
Fareena Saqib, University of North Carolina at Charlotte
Gautam Srivastava, Brandon University, Canada
Haofan Cai, University of Hawaiʻi at Mānoa
Rajib Maiti, BITS Pilani Hyderabad, India
Shantanu Pal, Deakin University, Melbourne
Shashank Narain, University of Massachusetts Lowell
Weizhi Meng, Technical University of Denmark, Denmark
Wenjun Fan, Xi'an Jiaotong-Liverpool University, China