EAI SPNCE 2022 will be held as an on-site conference and if needed, Accepted Authors who are unable to attend the event in person will be given an option to present remotely.

Scope

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.

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Publication

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

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.

Authors of selected best accepted and presented papers will be invited to submit an extended version to:

Mobile Networks and Applications (MONET) Journal [IF: 3.426 (2020)]
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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Topics

Topics of interest include but are not limited to:

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

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General Chairs
Qi Jiang
Xidian University, China

General Co-Chairs
Debiao He
Wuhan University, China
Joseph Liu
Monash University, Australia

Technical Program Committee Chairs
Xinghua Li
Xidian University, China
Ding Wang
Nankai University, China

Technical Program Committee Co-Chair
Shujun Li
University of Kent, UK

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This event is organized by EAI (www.eai.eu).

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.