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 - 1 | Issue - 2 | september 2019
Published
September, 2019
The internet of thing which is a prominent network for the transmission of valuable information over the internet, by tracking, computing and refining handles large scale of information as it being engaged in a wide range of application, ranging from the home to industries and government concerns. It provides with the capability of the transmitting information's over internet without the interference of the humans. Despite its potentials, the internet of the things suffer from limited storage facilities and seek the services of the cloud to assist with the storage provisions for the data that are being sensed. Though cloud is facilitated with the enormous resources of storage, the placing of the sensed data into the cloud would be energy consuming and prone to the security threats causing illegal access. So the paper proposes the multi-objective optimization technique based on the NDSGA-II to present with the optimal solutions for the energy and the security issues involved in the locating of the data into the cloud. The proposed method is validated using the network simulator-II to detail its efficiency, in terms of energy consumption, security, network longevity, and resource utilization.
KeywordsInternet of Things Sensed data cloud-data centers energy consumption security NDSGA-II
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