IoT Based Decision Making System to Improve Veracity of Big Data

Abstract

Data are vital to help decision making. On the off chance that data have low veracity, choices are not liable to be sound. Internet of Things (IoT) quality rates big data with error, irregularity, deficiency, trickery, and model guess. Improving data veracity is critical to address these difficulties. In this article, we condense the key qualities and difficulties of IoT, which impact data handling and decision making. We audit the scene of estimating and upgrading data veracity and mining indeterminate data streams. Also, we propose five suggestions for future advancement of veracious big IoT data investigation that are identified with the heterogeneous and appropriated nature of IoT data, self-governing basic leadership, setting mindful and area streamlined philosophies, data cleaning and handling procedures for IoT edge gadgets, and protection safeguarding, customized, and secure data administration.

Application of Offensive and Defensive Linkage in a Virtual Football Game in the Internet of Things Decision-Making System

“…e recommendations relate to the heterogeneity and appropriateness of IoT data, fundamental leadership for autonomy, the idea of developing conscious and regional lean, and data cleansing and processing procedures for IoT. Moreover, Revathy and Canessane proposed edge gadgets and data management methods for protection, customization and security [5].…”

An Artificial Intelligence Authentication Framework to Secure Internet of Educational Things

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