Skip to main content

Research Repository

See what's under the surface

Advanced Search

Guest Editorial: Privacy, data assurance, security solutions for Internet of Things (PASS4IoT)

Li, Shancang; Xu, Lida; Song, Houbing; Chen, Tom

Authors

Shancang Li Shancang.Li@uwe.ac.uk
Senior Lecturer in Computer Forensics and Security

Lida Xu

Houbing Song

Tom Chen



Abstract

The emerging Internet of Things (IoT) is unleashing the next wave of innovations due to its inherent capability of connecting billions of devices together, which bridges the gap between the physical world and cyber world. In recent years, the successful applications of IoT have demonstrated the massive potential benefits that IoT can make for global social economy. Coming along with the benefits, the IoT is facing an increasingly number of security and privacy challenges, including data encryption, privacy, secure machine-to-machine (M2M) communications, device security, cyber-attack, cloud security in IoT environment, and more. These challenges must be fixed quickly and effectively. To address these challenges, this special issue was proposed to bring recent research progress in theories and applications in privacy, data assurance, security issues in IoT that may help put together a clear picture for the security of IoT.

Journal Article Type Editorial
Publication Date Sep 1, 2018
Journal IET Networks
Electronic ISSN 2047-4962
Publisher Institution of Engineering and Technology
Peer Reviewed Peer Reviewed
Volume 7
Issue 5
Pages 281-282
APA6 Citation Li, S., Xu, L., Song, H., & Chen, T. (2018). Guest Editorial: Privacy, data assurance, security solutions for Internet of Things (PASS4IoT). IET Networks, 7(5), 281-282. https://doi.org/10.1049/iet-net.2018.0046
DOI https://doi.org/10.1049/iet-net.2018.0046
Keywords privacy, data assurance, security solutions, Internet of Things
Publisher URL http://dx.doi.org/10.1049/iet-net.2018.0046
Additional Information Additional Information : (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

Files








You might also like



Downloadable Citations

;