Privacy and Security of Networking

Dear Colleagues,

The proliferation the Internet-of-Things (IoT), mobile, and sensory devices, coupled with their pervasiveness worldwide, raises major conceptual and security concerns about the architectures that organize tomorrow’s compute infrastructure, its scalability, and privacy and security requirements. Future novel architectures need to support the shift from edge devices consuming data to edge devices being a voluminous producer of data. This raises multiple questions concerning data placement, securing data, privacy, processing, and sharing. Edge computing is at the heart of such novel architectures, in which compute and storage resources are placed at the network edge, in proximity to mobile and IoT devices. This approach offers advantages, such as improved scalability, reduced network latency, faster compute response times, and improved security and privacy.

In this Special Issue, we are seeking submissions that focus on secure data-centric edge architectures and privacy preserving data sharing frameworks that will enable compelling new applications and fully realize the opportunity of big data in tomorrow’s mobile and IoT device environments. Information-centric networking (ICN) is a new network architecture that provides access to named data as a first order network service, providing better trust in data authenticity. Security is a particularly important topic, since ICN enables new approaches with respect to confidentiality, access control, and trust management that we want to address through this Feature Topic.

Prof. Dr. Abderrahmen Mtibaa
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Sensor and Actuator Networks is an international peer-reviewed open access semimonthly journal published by MDPI.

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