Anomaly detection for software defined datacenter networks using X-Pack

The global data center market is growing as more and enterprises are increasingly adopting cloud computing services applications. Data centers evolving towards highly virtualized architectures where transformation to software defined network (SDN) based solutions provides benefits in terms of programmability, automation, flow visibility. With the benefits, need for securing becomes essential many critical applications hosted on such networking platforms. Anomaly detection a continuous process monitoring traffic pattern alerting user about anomalies if detected. For real time analysis NoSQL relational databases less efficient. This paper proposes framework anomaly system using Elasticsearch database SDN. Traffic patterns generated from SDN devices continuously monitored predefined actions taken immediately an proof concept implemented NOKIAs Nuage Networks Laboratory results showed took relevant within minimum time.