Volume 20 No 13 (2022)
Download PDF
Development of a Security Enhancement Framework for Intelligent Monitoring on IoT Platform
Vinod Kumar Singh,Hari Om Sharan,C.S. Raghuvanshi,
Abstract
Through the use of IP connectivity, the Internet of Things (IoT) offers up new possibilities for automated
processes. Things, or devices, are everything from our daily lives that have been upgraded with
computing or communication capabilities and are the focus of the Internet of Things. Because Zigbee
communication uses a modest data rate and little power compared to other mobile communications, it
is frequently employed in controlling or monitoring applications. The research community has focused
mostly on securing IoT systems. In order to foresee prospective security threats to the Zigbee protocol,
various security threats to Zigbee networks in the IoT platform have been addressed in this article. A
Security Improvement Framework (SIF) has also been created for intelligent monitoring in an office or
corporate setting. Our suggested SIF can foresee and defend against a variety of potential harmful
attacks in the Zigbee network and react accordingly by notifying the system administrator. On the basis
of real-time data that the system administrator defines, this framework (SIF) is intended to make
automatic decisions right away. As a case study for real-time monitoring, the planned SIF has finally
been integrated in a workplace security system. This workplace security system is rated according on its
ability to identify potential security threats. According to the evaluation findings, the suggested SIF may
effectively identify and defend against a variety of potential security intrusions, enabling more secure
intelligent monitoring on the IoT platform.
Keywords
Internet of Things, Communication Protocol, Security System, Security Threats, Encryption, Access Control
Copyright
Copyright © Neuroquantology
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.