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TENNISON: A Distributed SDN Framework for Scalable Network Security

delete2018-12-01
delete38
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OA
AI
L
Lyndon Fawcett *
S
Sandra Scott-Hayward
M
Matthew Broadbent
A
A. Wright
N
Nicholas Race
DOI:10.1109/JSAC.2018.2871313delete
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Abstract

Abstract

En 中文
Despite the relative maturity of the Internet, the computer networks of today are still susceptible to attack. The necessary distributed nature of networks for wide area connectivity has traditionally led to high cost and complexity in designing and implementing secure networks. With the introduction of software-defined networks (SDNs) and network functions virtualization, there are opportunities for efficient network threat detection and protection. SDN's global view provides a means of monitoring and defense across the entire network. However, current SDN-based security systems are limited by a centralized framework that introduces significant control plane overhead, leading to the saturation of vital control links. In this paper, we introduce TENNISON, a novel distributed SDN security framework that combines the efficiency of SDN control and monitoring with the resilience and scalability of a distributed system. TENNISON offers effective and proportionate monitoring and remediation, compatibility with widely available networking hardware, support for legacy networks, and a modular and extensible distributed design. We demonstrate the effectiveness and capabilities of the TENNISON framework through the use of four attack scenarios. These highlight multiple levels of monitoring, rapid detection, and remediation, and provide a unique insight into the impact of multiple controllers on network attack detection at scale.
Keywords:
SDN
monitoring
network security
distributed control
scalable security
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Journal

IEEE Journal on Selected Areas in Communications cover
IEEE Journal on Selected Areas in Communications
IF:
17.2
Papers:
6.4K
Citations:
3.1W

Organization

Q
Queen's University Belfast
Scholars:
1.6W
Papers: 1.7W
Citations: 2.5W
L
Lancaster University
Scholars:
9.5K
Papers: 1.1W
Citations: 1.7W