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Update: Proceedings have been published in SpringerLink Digital Library.
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, EI Engineering Index (Compendex and Inspec databases), DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Scopus, Zentralblatt MATH.
Authors of selected papers will be invited to submit an extended version to:
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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.
This event is organized by EAI.
EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.
EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.
EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.
Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.
Full Paper Submission deadline
5 August 2021
19 September 2021
15 November 2021
Start of Conference
10 December 2021
End of Conference
11 December 2021
Full Paper Submission deadline
15 September 2021 1 October 2021
18 October 2021
15 November 2021