A context-aware privacy-preserving method for IoT-based smart city using Software Defined Networking

doi:10.1016/j.cose.2019.02.006

2019-11-01

PRE

Mehdi Gheisari

Guojun Wang *

Wazir Zada Khan

Christian Fernández‐Campusano

DOI：10.1016/j.cose.2019.02.006

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摘要

En 中文

Smart City is an application of the Internet of Things (IoT) with the aim of managing cities without human intervention. Each IoT device that is producing data may sense a sensitive one that should not be disclosed unintentionally. Due to the existence of a large number of devices in the near future, the possibility of information leakage, privacy breach, is increasing. To prevent this, each device applies a privacy-preserving method. We discover that all of the existing solutions have three major drawbacks: (1) applying one static privacy-preserving method for the entire system, (2) sending whole data at once, and (3) not context-aware. These cause unacceptable privacy-preserving degree. To address them, in this paper, at first, we equip IoT-based smart city with Software Defined Networking paradigm (SDN). Then, we mount an efficient privacy-preserving method on top of it that manages flowing data packets of split IoT device' data. We have done extensive simulation through MININET-WIFI to show the effectiveness of our approach. Evaluation results show that our method can be widely applied to the smart city application with a superior performance regarding accuracy, overhead, and penetration rate compared to existing privacy-preserving solutions. (C) 2019 Published by Elsevier Ltd.

Keyword:

SDN

IoT

Privacy

Context-aware

Dynamic

Internet of Things

Penetration rate

Software Defined Networking

Smart city

VPN