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On the Security of SDN: A Completed Secure and Scalable Framework Using the Software-Defined Perimeter - 2019

On the Security of SDN: A Completed Secure and Scalable Framework Using the Software-Defined

Research paper On the Security of SDN: A Completed Secure and Scalable Framework Using the Software-Defined Perimeter

Research Area:  Software Defined Networks

Abstract:

The widespread adoption and evolution of Software Defined Networking (SDN) have enabled the service providers to successfully simplify network management. Along with the traffic explosion, there is decreasing CAPEX and OPEX as well as an increase in the average revenue per user. However, this wide adoption of SDNs is posing real challenges and concerns in terms of security aspects. The main challenges are how to provide proper authentication, access control, data privacy, and data integrity among others for the API-driven orchestration of network routing. Herein, the Software Defined Perimeter (SDP) is proposed as a framework to provide an orchestration of connections. The expectation is a framework that restricts network access and connections between objects on the SDN-enabled network infrastructures. There are several potential benefits as a result of the integration between SDP systems and SDNs. In particular, it provides a completely scalable and managed security solution. Consequently, it leads to flexible deployment that can be tailored to fit the need of any generic network security perimeter. The proposed Integrated frameworks are examined through virtualized network testbeds. The testing results demonstrate that the proposed framework is malleable to both port scanning (PS) attack and Denial of Service (DoS) bandwidth attack. In addition, it clarifies some interesting potential integration points between the SDP systems and SDNs to further research in this area.

Keywords:  
SDP
SDN
DoS attack
security
network virtualization

Author(s) Name:  Ahmed Sallam; Ahmed Refaey; Abdallah Shami

Journal name:  IEEE Access

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/ACCESS.2019.2939780

Volume Information:  ( Volume: 7) Page(s): 146577 - 146587