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Paper Submission is now open for the 5th edition of SPNCE! Check out the Call for Papers.Take a look back at the previous edition of SPNCE here.SPNCE 2022 supports revolutionary EAI Community Review, find out more here.Every author receives EAI Index credits – regardless of acceptance. Learn more about EAI’s Recognition Program here.Get real feedback on your presentation from other registrants via EAI Compass.
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Update: Proceedings have been published in SpringerLink Digital Library.
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.
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library: SPNCE Conference Proceedings.
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