Computing Science, Communication and Security

Third International Conference, COMS2 2022, Gujarat, India, February 6–7, 2022, Revised Selected Papers

AvNirbhay Chaubey,Sabu M. Thampi

Häftad, Engelska, 2022

Del i serien Communications in Computer and Information Science

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Beskrivning

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. The papers present ideas, and research results on the aspects of computing science, network communication, and security.

Produktinformation

Utgivningsdatum:2022-07-02
Mått:155 x 235 x 21 mm
Vikt:504 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:311
Förlag:Springer International Publishing AG
ISBN:9783031105500

Utforska kategorier

Programvaruutveckling inom Data och IT
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

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.