IoT-NETZ: Practical Spoofing Attack Mitigation Approach in SDWN Network
Hamzeh Mohammadnia, Slimane Ben Slimane
Abstract
The phenomenal growth of the Internet of Things(IoT) and popularity of the mobile stations have rapidly increased the demand of WLAN network (known as IEEE 802.11 and WiFi). WLAN is a low-cost alternative of the cellular network and being an unlicensed spectrum to build the master plan of embedding the Internet in everything-&-anywhere. Although the advent of the IoT is providing a great number of supportive services, there are the numerous number of incident reports in which IoT has been used to launch massive spoofing attacks against major clouds around the world. In addition, based on the number of researches and analyses on inbound traffic towards the major clouds, almost half of cloud providers are experiencing the Distributed Denial-of-Service (DDoS) attack which employ spoofing technique to bypass the detection systems.In this research work, we will review the existing solutions which have been developed to protect both traditional and softwarized network paradigms. Then, we discuss the strategies of our proposed solution which enable networks protected against potential attack; we deploy the Software-defined Wireless Networking (SDWN) within the wide-scale WiFi network and apply our proposal to mitigate spoofing-oriented network attacks along with outbound network traffic. The proposed solution of this work is a practical mechanism to protect wide-scale IoT networks against launching network attacks to cloud infrastructure and its services. In addition, the proposed solution of this work provides the environmental sustainability feature by saving power consumption in networking devices of the IoT network.