Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2022

著者名：Rout, Rashmi Ranjan (EDT)/Ghosh, Soumya Kanti (EDT)/Jana, Prasanta K. (EDT)/Tripathy, Asis Kumar (EDT)/Sahoo, Jyoti Prakash (EDT)/Li, Kuan-Ching (EDT)

Springer（2022/07/27発売）

• 言語：ENG
• ISBN：9789811910173
• eISBN：9789811910180

Description

This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15–16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Table of Contents

Fog Computing Paradigm for Internet of Things: Architectures, Issues, Challenges and Applications.- Security and Challenges for Blockchain Integrated Fog Enabled IoT Applications.- MLP Deep Learning Based DDoS Attack Detection Framework for Fog Computing.- Active VM Placement Approach Based on Energy Efficiency in Cloud Environment.- Security Enhancement in Cloud Environment using Modified Key Based Crypto Method.- RFID-Based Authentication Scheme for Secure Access of Medical Data in IoT-Enabled Health Environments.- FML Framework: Function Triggered ML-as-a-Service for IoT Cloud Applications.- A New Approach for Processing Raster Geospatial Big Data in Distributed Environment.- An Efficient Service Selection Algorithm for Cloud Computing.- Transaction and QoS-Driven Composition of Web Services using Modified Grey Wolf Optimization with TOPSIS and AHP.