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Challenges and Preparedness of SDN-based Firewalls - 2018

Challenges and Preparedness of SDN-based Firewalls

Research paper on Challenges and Preparedness of SDN-based Firewalls

Research Area:  Software Defined Networks

Abstract:

Software-Defined Network (SDN) is a novel architecture created to address the issues of traditional and vertically integrated networks. To increase cost-effectiveness and enable logical control, SDN provides high programmability and centralized view of the network through separation of network traffic delivery (the "data plane") from network configuration (the "control plane"). SDN controllers and related protocols are rapidly evolving to address the demands for scaling in complex enterprise networks. Because of the evolution of modern SDN technologies, production networks employing SDN are prone to several security vulnerabilities. The rate at which SDN frameworks are evolving continues to overtake attempts to address their security issues. According to our study, existing defense mechanisms, particularly SDN-based firewalls, face new and SDN-specific challenges in successfully enforcing security policies in the underlying network. In this paper, we identify problems associated with SDN-based firewalls, such as ambiguous flow path calculations and poor scalability in large networks. We survey existing SDN-based firewall designs and their shortcomings in protecting a dynamically scaling network like a data center. We extend our study by evaluating one such SDN-specific security solution called FlowGuard, and identifying new attack vectors and vulnerabilities. We also present corresponding threat detection techniques and respective mitigation strategies.

Keywords:  
SDN
Firewalls
security

Author(s) Name:  Vaibhav Hemant Dixit , Sukwha Kyung , Ziming Zhao , Adam Doupé , Yan Shoshitaishvili , Gail-Joon Ahn

Journal name:  

Conferrence name:  SDN-NFV Sec-18: Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization

Publisher name:  ACM

DOI:  10.1145/3180465.3180468

Volume Information:  Pages 33–38