Cognition: A Tool for Reinforcing Security in Software Defined Networks

Abstract

Abstract. Security is one of the most important requirements for networks and serious concerns for network providers and users. Software Defined Networking offers to network managers new opportunities for deploying efficient security mechanisms. By means of applications and controller functionalities, SDN is able to provide a highly reactive network security monitoring, to perform comprehensive traffic analysis, and to enforce fine-grained dynamic access policies. In the present work, we show how such security mechanisms can be further enforced by applying cognitive functions at the SDN application plane. The proposed approach that finds its foundation into the control loops applied in Autonomic Managers Networks (AMNs), can efficiently enable secure and safe SDN scenarios.

Multi-Domain Federation Utilizing Software Defined Networking—A Review

“…In recent years several proposals have been made [82]- [90] to resolve the multi-domain SDN security issues. The proposals tackle particular security issues.…”

A Survey of Applications and Security Issues in Software Defined Networking

“…Some of the securities challenges faced by SDN switches are: While as in distributed SDN scenario it takes time to converge the network which affects the performance. Tantar et al [22] have proposed that security in SDNs can be enhanced using cognitive algorithms and have presented a cognitive module implemented in the application plane to overcome security failures in SDN.…”