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Journal of IoT in Social, Mobile, Analytics, and Cloud

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Volume-3 | Issue-3

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Volume-3 | Issue-3

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Hybrid Intrusion Detection System for Internet of Things (IoT)
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Volume - 1 | Issue - 2 | september 2019

SECURITY AND PRIVACY PRESERVING OF SENSOR DATA LOCALIZATION BASED ON INTERNET OF THINGS
Pages: 81-91
Published
September, 2019
Abstract

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.

Keywords

Internet of Things Sensed data cloud-data centers energy consumption security NDSGA-II

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