Title |
Software Defined Network Security Framework for IoT based Smart Home and City Applications |
ID_Doc |
39692 |
Authors |
Wang, S; Gomez, KM; Sithamparanathan, K; Zanna, P |
Title |
Software Defined Network Security Framework for IoT based Smart Home and City Applications |
Year |
2019 |
Published |
|
DOI |
10.1109/icspcs47537.2019.9008703 |
Abstract |
As a popular application of Internet of Things (IoT), Smart City Frameworks aim to provide real time tracking, intelligent control and surveillance across the city. Thus the improvement of resource utilization is a big concern in the management, how to administer such a massive network to meet the requirement of different services? Software Defined Network (SDN) is an ideal solution in customizing networks; however the security feature is the common challenge in both SDN and IoT. In this paper, we propose a framework that uses smart techniques for improving the security features of SDN for smart city applications and diminishing the risk of network invasion. Our SDN Security Framework (SDN-SF) combines two techniques: i) it restrains the unnecessary path between IoT nodes, and ii) it classifies devices into three levels from a combination of MAC address and HTTP request. Additionally, thresholds derived from historical behavior are used for anomaly detection in order to enhance network adaptation. Our result collected from real SDN-based IoT testbed demonstrates that our SDN-SF for Smart City scenarios is able to detect and mitigate malicious traffic with 99.9% of detection rate and 0.5-1 second of detection time in both the control and data plane, respectively. |
Author Keywords |
SDN; Security; IoT; Smart City; Network Attacks; Anomaly Detection |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000613248200044 |
WoS Category |
Engineering, Electrical & Electronic; Telecommunications |
Research Area |
Engineering; Telecommunications |
PDF |
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