Validating User Flows to Protect Software Defined Network Environments
Por um escritor misterioso
Descrição
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.
Validating User Flows to Protect Software Defined Network Environments
Sensors, Free Full-Text
PERM-GUARD: Authenticating the Validity of Flow Rules in Software
SADM-SDNC: security anomaly detection and mitigation in software
Application Dependency Mapping: The Complete Guide
Application-Aware Firewall Mechanism for Software Defined Networks
Sensors, Free Full-Text
Validating User Flows to Protect Software Defined Network Environments
Cisco Software-Defined Access - Cisco Software-Defined Access
What Is Zero Trust Security? How to Implement It & More
Built-In Quality - Scaled Agile Framework
Control Flow Diagram in Software Engineering: Symbols & Example
What is Computer System Validation and How Do You Do It?
Software defined networks (SDNs) for environmental surveillance