Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
Design of Deep Learning Algorithm for IoT Application by Image based Recognition
Volume-3 | Issue-3
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Health Record Management System – A Web-based Application
Volume-3 | Issue-4
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Secure Data Sharing Platform for Portable Social Networks with Power Saving Operation
Volume-3 | Issue-3
Review of Internet of Wearable Things and Healthcare based Computational Devices
Volume-3 | Issue-3
Stock Index Prediction with Financial News Sentiments and Technical Indicators
Volume-4 | Issue-3
Hybrid Framework on Automatic Detection and Recognition of Traffic Display board Signs
Volume-3 | Issue-3
Suspicious Human Activity Detection System
Volume-2 | Issue-4
ROBOT ASSISTED SENSING, CONTROL AND MANUFACTURE IN AUTOMOBILE INDUSTRY
Volume-1 | Issue-3
EFFICIENT RESOURCE ALLOCATION AND QOS ENHANCEMENTS OF IOT WITH FOG NETWORK
Volume-1 | Issue-2
Live Streaming Architectures for Video Data - A Review
Volume-2 | Issue-4
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
Volume-2 | Issue-1
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Hybrid Intrusion Detection System for Internet of Things (IoT)
Volume-2 | Issue-4
Volume - 2 | Issue - 2 | june 2020
Published
07 May, 2020
The growth of the information and communication technology has led the world to experience more sophisticated service that were once thought to be a fantasy. The emergence of the internet of things has further taken the world one step ahead by enabling the tangible things around to communicate. The IOT affords to offer more advanced services by the incorporation of the wireless sensors. The collection of the information and its delivery in the platform of internet of things is taken care by the enormous number of smart devices present in it and the numerous of smart devices present cause a very high amount of data flow. The issue arises in such platforms of internet of things in handling, regulating, storing and computing the huge amount of data flow. Move over the security of the data are also uncertain. To manage all these the paper delivers a sensor cloud based architecture with highly efficient computation and the security implantation for the application of internet of things. The proposed model improves the computation capability and the security of the data by using cloud service, the machine learning and the encryption scheme. The network simulator -3 evaluates the performance of the delivered model that provides a satisfying and sustaining results than the existing methods. The experiments were carried out on the grounds of the longevity of the network, overhead in the transmission the amount of energy used and as well as the packet drop ratio. The results attained on each ground were found be 25%, 30%, 38.76% and 50.7% better compared to the state of art approaches.
KeywordsSensor Networks Sensor Cloud Machine learning Internet of Things encryption scheme
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