ENHANCED IoE SECURITY BY GEO-TAGGED AGENT BASED SDN

Computer Science & Engineering

The IoE (Internet of Everything) is rapidly evolving across all segments but subsequently introducing several new challenges in terms of processing IoT generated data, privacy, performance, resilience, network QoS, security and operational assurance. In order to retrieve meaningful information from this massive IoE data, efficient frameworks is required which can be able to analyze the data satisfactorily. SDN (Software Defined Networking) as a software oriented approach with Virtual Network Functions (VNF) provide controlled traffic engineering of IP packets in various ways with improved performance and policy oriented enhanced security. Geo-tagging is the process of appending geographically identifiable spatial metadata to a particular relevant object so that the object could give more relevant self-reliant information on itself. The geo-tagging being a flexible methodology in SDN approach to handle security provides improved handling of IoE data based on the ecosystem applied. In this research, it is proposed for an SDN enabled control plane based orchestration that leverages geo-tagged agent based architecture to combat malicious IoT nodes in the IoE process to enhance its security.

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