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SPT-SN-IoT 2019 : Special Issue Security, Privacy, and Trustworthiness of Sensor Networks and Internet of Things


When N/A
Where N/A
Submission Deadline Aug 15, 2019
Categories    security   cyber security   information security   network security

Call For Papers

Dear Colleagues,

The rapid developments in hardware, software, and communication technologies have facilitated the spread of interconnected sensors, actuators and heterogeneous devices such as single board computers, which collect and exchange a large amount of data to offer a new class of advanced services characterized by being available anywhere, at any time and for anyone. This ecosystem is widely referred to as the Internet of Things (IoT). In the past years, the number of deployments both for sensor networks and the IoT grew significantly. This continuous and exponential growth is facilitated by investments and research activities originating from industry, academia and governments, while the penetration of these technologies is also driven by the high technology acceptance rates of both consumers and technologists across disciplines. Such networks collect, store, and exchange a large volume of heterogeneous data. Nevertheless, their rapid and widespread deployment, along with their participation in the provisioning of potentially critical services (e.g. safety applications, healthcare, manufacturing), raise numerous issues related to the security, privacy, and trustworthiness of the performed operations and provided services. Accordingly, research into the security and privacy of the IoT and sensor networks is attracting increasing attention from both industry and academia. In line with these efforts, the central theme of this Special Issue is to investigate novel methodologies, theories, technologies, techniques, and solutions for IoT/SN security, trust and privacy. In particular, this Special Issue aims at addressing these topics across multiple abstraction levels, ranging from architectural models, the provisioning of services, protocols and interfaces, as well as specific implementation approaches. Furthermore, additional focus will be given to areas related to the role of data mining and machine learning in modeling and deploying secure and trustworthy sensor networks and IoT systems.

Topics of Interest:

This Special Issue aims to present the most important and relevant advances to overcome the challenges related to security, privacy, and trustworthiness in sensor networks and the Internet of Things.

We seek original and high quality submissions on, but not limited to, one or more of the following topics:

Novel trustworthy architectures, protocols, or applications that achieve usable security in sensor networks and the IoT
Privacy preservation in sensor networks and the IoT
Privacy by design for sensor networks and the IoT
Vulnerability analysis in the IoT and sensor networks
Threat modeling in sensor networks and the IoT
Risk assessment in sensor networks and the IoT
Secure communications in sensor networks and the IoT
Device attestation in sensor networks and the IoT
Trustworthiness management models for sensor networks and the IoT
Intrusion detection for sensor networks and the IoT
Disaster recovery for sensor networks and the IoT
Forensics in sensor networks and the IoT
Privacy-preserving, machine-learning-based data analytics in sensor networks and the IoT
Real-time processing of sensor network and IoT data for intrusion detection and cyber security situational awareness
Security testbeds and experimental results for sensor networks and the IoT
Lightweight security protocols and architectures for the IoT and sensor networks
Privacy enhancing and anonymization techniques in sensor networks and the IoT
Trust and identity management in sensor networks and the IoT
Secure discovery and authentication in sensor networks and the IoT
Sensor networks and the IoT security life cycle
Access control for shared data in IoT devices
Algorithmic developments and applications of machine learning and data mining for big data in sensor networks and IoT security
Methods for modeling intentions and/or behaviors relevant to cybersecurity and privacy for sensor networks and the IoT
Distributed data mining and machine learning systems for sensor networks and IoT security.

Prof. Sokratis Katsikas
Dr. Vasileios Gkioulos
Guest Editors

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