Data Mining, Cloud Computing, and Information Security

• To develop Big data technology-based fully scalable, parallel P2P Botnet Detection System in dynamic, real-time large-scale networks.
• To develop encryption algorithms to provide security in the cloud, wireless sensor networks, healthcare and to enhance the efficiency of secure computation protocols.
• To provision the resources dynamically in fog/cloud environments for IoT applications
• To detect the SQL Injection attacks and deploy a SECaaS model for the Cloud Applications.
• To develop deep learning algorithms in the detection of physiological conditions in plants caused by unfavorable environmental situations.

• Big Data Mining
• Cloud/Fog computing
• Cyber Security
• Cloud Security
• Internet of Things
• Blockchain
• Threat Intelligence

• VGST-SPICE (2014-2015) – Funded Amount Rs. 30,000/-
  Guide: Ms. Supriya M. (Status: Completed)

• Saravanan S. collaborated with the Amritapuri campus to execute a Hadoop-based K-mer counter(link is external) using the Amrita Big Data Framework (ABDF), for his research work.
• Anasuya These Innocent and Ms. Priya John have applied to the DRDO-MHRD research fellowship program for Amrita Vishwa Vidyapeetham and is in progress.
• Anil Kumar, Scientist/Engineer ‘SG’ & Head PRSD, IIRS, ISRO, Dehradun has been appointed as the co-advisor for the research scholar, Ms. Megha Sharma.
• Rajkumar Buyya, Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia, has agreed to be the co-advisor for the research scholar Ms. Shinu M. R.

Research Scholars