Emerging Trends in Data Driven Computing and Communications [electronic resource] : Proceedings of DDCIoT 2021 /

Hybrid Deep Learning Model for Real-time Detection of Denial of Service Attacks in Software Defined Networks -- CP-ABE Scheme with Decryption Keys of Constant Size using ECC with Expressive Threshold Access Structure -- Facial Expressions Recognization Based on DRLBP and CNN Classification -- Post Stroke Readmission Prediction Model Using Machine Learning Algorithms -- Handwriting Recognition Using Deep Learning -- A Theoretical Approach to Reinforcement Learning Algorithm and Nash Equilibrium to Maximize the Score in Imperfect Information Game -- A Review Paper on Sign Language Recognition using Machine Learning Techniques -- Deep Learning Methods for the Prediction of Chronic Diseases: A systematic review -- Cyber Infrastructure for Advanced Research with High Performance Edge Computing -- A Literature Review on Machine Learning Techniques and Strategies Applied to Stock Market Price Prediction.

This book includes best selected, high-quality research papers presented at International Conference on Data Driven Computing and IoT (DDCIoT 2021) organized jointly by Geetanjali Institute of Technical Studies (GITS), Udaipur, and Rajasthan Technical University, Kota, India, during March 20–21, 2021. This book presents influential ideas and systems in the field of data driven computing, information technology, and intelligent systems.