Validating User Flows to Protect Software Defined Network Environments

Software Defined Network is a promising network paradigm which has led to several security threats in SDN applications that involve user flows, switches, and controllers in the network. Threats as spoofing, tampering, information disclosure, Denial of Service, flow table overloading, and so on have been addressed by many researchers. In this paper, we present novel SDN design to solve three security threats: flow table overloading is solved by constructing a star topology-based architecture, unsupervised hashing method mitigates link spoofing attack, and fuzzy classifier combined with L1-ELM running on a neural network for isolating anomaly packets from normal packets. For effective flow migration Discrete-Time Finite-State Markov Chain model is applied. Extensive simulations using OMNeT++ demonstrate the performance of our proposed approach, which is better at preserving holding time than are other state-of-the-art works from the literature.

Applied Sciences, Free Full-Text

Validating User Flows to Protect Software Defined Network Environments

PDF) Enhancing Network Security through Software Defined

20 top user flow tools for smooth UX sailing - Justinmind

Validating User Flows to Protect Software Defined Network Environments

Recommendations for networking and connectivity - Microsoft Azure

PDF) Enhancing Network Security through Software Defined

Design considerations for workflow management systems use in

PERM-GUARD: Authenticating the Validity of Flow Rules in Software