Visible to the public Deep packet inspection Management application in SDN

TitleDeep packet inspection Management application in SDN
Publication TypeConference Paper
Year of Publication2017
AuthorsRenukadevi, B., Raja, S. D. M.
Conference Name2017 2nd International Conference on Computing and Communications Technologies (ICCCT)
PublisherIEEE
ISBN Number978-1-5090-6221-8
Keywordsapplication signature data analysis, application threshold, computer network security, Data analysis, data analytic engine, data flows, data representation, Databases, deep packet inspection, deep packet inspection management, digital signatures, DPI management application, DPI-Deep Packet Inspection, Engines, flow provisioning behavior, Inspection, JSON format, JSON-Java Script Object Notation, nonrelational data base, north-bound application, Open vSwitch-Open Virtual Switch, pubcrawl, QoS-Quality of Service, quality of service, Real-time Systems, resilience, Resiliency, Scalability, SDN architecture, SDN-Software Defined Networking, SNMP trap notifications, software defined networking, Switches
Abstract

DPI Management application which resides on the north-bound of SDN architecture is to analyze the application signature data from the network. The data being read and analyzed are of format JSON for effective data representation and flows provisioned from North-bound application is also of JSON format. The data analytic engine analyzes the data stored in the non-relational data base and provides the information about real-time applications used by the network users. Allows the operator to provision flows dynamically with the data from the network to allow/block flows and also to boost the bandwidth. The DPI Management application allows decoupling of application with the controller; thus providing the facility to run it in any hyper-visor within network. Able to publish SNMP trap notifications to the network operators with application threshold and flow provisioning behavior. Data purging from non-relational database at frequent intervals to remove the obsolete analyzed data.

URLhttps://ieeexplore.ieee.org/document/7972287
DOI10.1109/ICCCT2.2017.7972287
Citation Keyrenukadevi_deep_2017