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Title: A framework for improving network resilience using SDN and fog nodes
Authors: Modarresi, A
Gangadhar, S
Sterbenz, JPG 
Keywords: Cloud and fog computing
Future Internet
Intrusion detection
IP spoofing
Mininet network simulator
Network security
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Proceedings of 2017 9th International Workshop on Resilient Networks Design and Modeling, RNDM 2017, 4-6 Sept 2017, 8093036 How to cite?
Abstract: The IoT (Internet of Things) is one of the primary reasons for the massive growth in the number of connected devices to the Internet, thus leading to an increased volume of traffic in the core network. Fog and edge computing are becoming a solution to handle IoT traffic by moving timesensitive processing to the edge of the network, while using the conventional cloud for historical analysis and long-term storage. Providing processing, storage, and network communication at the edge network are the aim of fog computing to reduce delay, network traffic, and decentralise computing. In this paper, we define a framework that realises fog computing that can be extended to install any service of choice. Our framework utilises fog nodes as an extension of the traditional switch to include processing, networking, and storage. The fog nodes act as local decision-making elements that interface with software-defined networking (SDN), to be able to push updates throughout the network. To test our framework, we develop an IP spoofing security application and ensure its correctness through multiple experiments.
ISBN: 9781538606711
DOI: 10.1109/RNDM.2017.8093036
Appears in Collections:Conference Paper

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