Anomaly Detection in SDN Assisted Social Media Communications using Improved Deep Learning Algorithms

  • Gupta Rounak, Dr. Zha Chanakya Kumar,


The internet traffic of social media saw tremendous growth in recent time, owing to the ongoing development and utilizing of application and services  based on multimedia Nowadays the network based communications becomes more vulnerable to the several security threats called anomalies due to widespread growth and interest of using the social method web portals worldwide. Thus it becomes necessary to scan the Online Social Networking (OSN) multimedia communications to detect the security threats that may harm the important data of end users. Designing the paradigm of secure multimedia data transmission plays the vital part in finding out all essential necessities of OSNs  like Quality of Service (QoS), reliability and measurability .The paper provides a review on anomaly detection in SDN using deep learning algorithms.