Privacy-preserving fog computing paradigm

As an extension of cloud computing, fog computing is proving itself more and more potentially useful nowadays. Fog computing is introduced to overcome the shortcomings of cloud computing paradigm in handling the massive amount of traffic caused by the enormous number of Internet of Things devices be...

Full description

Saved in:
Bibliographic Details
Published in2017 IEEE Conference on Communications and Network Security (CNS) pp. 502 - 509
Main Authors Abubaker, Nabil, Dervishi, Leonard, Ayday, Erman
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Cloud computing
Computer architecture
Edge computing
Fog Computing
Intelligent sensors
IoT
Privacy
Privacy in Fog
Security
Online AccessGet full text

Cover

More Information
Summary:As an extension of cloud computing, fog computing is proving itself more and more potentially useful nowadays. Fog computing is introduced to overcome the shortcomings of cloud computing paradigm in handling the massive amount of traffic caused by the enormous number of Internet of Things devices being increasingly connected to the Internet on daily basis. Despite its advantages, fog architecture introduces new security and privacy threats that need to be studied and solved as soon as possible. In this work, we explore two privacy issues posed by the fog computing architecture and we define privacy challenges according to them. The first challenge is related to the fog's design purposes of reducing the latency and improving the bandwidth, where the existing privacy-preserving methods violate these design purposed. The other challenge is related to the proximity of fog nodes to the end-users or IoT devices. We discuss the importance of addressing these challenges by putting them in the context of real-life scenarios. Finally, we propose a privacy-preserving fog computing paradigm that solves these challenges and we assess the security and efficiency of our solution.
DOI:10.1109/CNS.2017.8228709