Computing Science, Communication and Security: Third International Conference, COMS2 2022, Gujarat, India, February 6-7, 2022, Revised Selected Papers

ISBN-13: 9783031105500 / Angielski / Miękka / 2022

Chaubey, Nirbhay

Opis

This book constitutes revised selected papers of the Third International Conference on Computing Science, Communication and Security, COMS2 2022, held in Gandhinagar, India, in February 2022. Due to the COVID-19 pandemic the conference was held virtually. 

The 22 full papers were thoroughly reveiwed and selected from 143 submissions. The papers present ideas, and research results on the aspects of computing science, network communication, and security.

Spis treści

Development of Smart Sensor for IoT Based Environmental Data Analysis Through Edge Computing.-  Application of Forensic Audio-Video Steganography Technique to Improve Security, Robustness, and Authentication of Secret Data.- An Efficient Cluster Based Energy Routing Protocol (E-CBERP) for Wireless Body Area Networks Using Soft Computing Technique.-  Ortho Image Mosaicing and Object Detection of  UAV Data.- The Novel Approach of Down-Link Spectral Efficiency Enhancement using Massive MIMO in Correlated Rician Fading Scenario.- Blocking Estimation using Optimal Guard Channel Policy in GSM 900 System.- Systematic Review on Various Techniques of Android Malware Detection.- Adaptive Rider Grey Wolf Optimization enabled Pilot-design for Channel Estimation in Cognitive Radio.- To Identify Malwares using Machine Learning Algorithms.- Motor Imagery EEG Signal Classification using Deep Neural Networks.- Extending WSN life-time using Energy Efficient based on K-means clustering method.- One-to-One Matching for Cooperative Resource Sharing and Communication in CRNs.- Sandbox Environment for Real Time Malware Analysis of IoT Devices.- Machine Learning Based DDOS Attack Detection in Design of 5G Smart Healthcare Networks.- Traffic Flow Prediction using Deep Learning Techniques.- Meta Heuristic Backtracking Algorithm for Virtual Machine Placement in Cloud Computing Migration.- Achieving Energy Efficiency in Life-logging Applications of Internet of Things using Data Compression through incorporation of Machine Learning & Edge-Cloud Architecture.- Cab Fare Prediction Using Machine Learning.- Device to Device Communication Over 5G.- Energy efficient Allocation of Resources in NOMA Based (MU-HCRN) with Perfect Spectrum Sensing.- CV based person detection system for smart transportation.- A Performance of Low-Cost NVIDIA Jetson Nano Embedded System in the Real-Time Siamese Single Object Tracking.