In the emerging Internet of Everything era, various smart and embedded devices (e.g., smart cameras, smart electronic devices and smartwatches) have been integrated into our lives and form the Internet of Things (IoT). However, the large-scale deployment of smart mobile devices is confronted with many new challenges, especially in terms of security and privacy. For example, smart mobile devices are generally of limited computation capability and restricted storage and energy, and thus adopting security and privacy solutions that employ expensive cryptographic primitives will not be practical. Meanwhile, smart mobile devices are typically small devices with a restricted screen, keyboard and interfaces. Consequently, existing security and privacy solutions may not be sufficiently user-friendly or completely unviable. In addition, smart mobile devices are often capable of transparently monitoring many sensitive activities and data of users’ lives (e.g., location, health, preference and correspondence), and hence more stringent security and privacy demands are required than that of traditional computing devices.

For another example, cloud computing cannot support ultra-fast computing. It cannot provide the required real-time and reliable services, which are essential for mission-critical systems. Fortunately, edge computing can provide flexible and on-demand processing power. The large-scale nature of IoT can be effectively and efficiently supported and assisted by edge systems. This is referred to as edge-assisted IoT. Even if the coupling of edge computing and IoT bring a new level of convenience to our lives, they are much more vulnerable to many new and unknown attacks from traditional computing domains. For example, IoT often collects sensitive and private information about the physical environment. Therefore, edge-assisted IoT has become an ideal target for various security and privacy threats in the IoT ecosystems. Thus, we call for efforts to investigate the security and privacy issues of the above-mentioned within the IoT, and propose new ideas for addressing them.

• Access control and authentication for smart mobile devices
• Measurement of privacy leakage for smart mobile devices
• Data privacy for smart mobile devices Information leakage detection and prediction for smart mobile devices
• Privacy-enhancing technologies for smart mobile devices
• New security and privacy paradigms for smart mobile devices
• Attacks on security and privacy mechanisms for smart mobile devices
• Human aspects in security and privacy for smart mobile devices
• Foundational principles for lightweight security and privacy
• Evaluation metrics for security and privacy on smart mobile devices
• Key management for security and privacy on smart mobile devices
• Identity and access management in the Internet of Things
• Measurement of privacy leakage in the Internet of Things
• Multi-factor authentication for smart mobile devices
• Continuous/implicit authentication for smart mobile devices
• New attacks on edge-assisted IoT
• Threat models and defensive mechanisms for edge-assisted IoT
• Authentication techniques for edge-assisted IoT
• Physical security for edge-assisted IoT
• Data privacy for edge-assisted IoT
• Data outsourcing for edge-assisted IoT
• Secure access to outsourced data
• Computation outsourcing for edge-assisted IoT
• Privacy-aware location-based services
• System and software security for edge-assisted IoT
• Cryptographic techniques for securing edge-assisted IoT

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library: SPNCE Conference Proceedings.

All accepted authors are eligible to submit an extended version in a fast track of:

• EAI Endorsed Transactions on Scalable Information Systems (Open Access) – indexed in ESCI, Ei Compendex & Scopus
• EAI Endorsed Transactions on Internet of Things (Open Access)
• EAI Endorsed Transactions on Security and Safety (Open Access)

Additional publication opportunities:

• EAI/Springer Innovations in Communications and Computing Book Series
  (titles in this series are indexed in Ei Compendex, Web of Science & Scopus)

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