Deterministic Machine Learning Enhancement Approach for Privacy and Security in Mini Layer IoT Devices Using Cyber Security Techniques

Abstract

The IoT devices act as an essential component in our modern digital life for the effective day-today-life in our emerging communication system.  The data communication among the IoT devices using the internet makes an open access possibility for affecting the privacy and security in a negative way for every device user’s life.  The process of handling privacy and security from machine to human communication is little bit complex when compared with human to machine communication.  Each IoT device handles its own form of data so that their data communication system must be properly monitored with utmost care in order to provide security to their data.  The existing methodologies focus on the IoT device connection and communication in the fast manner rather than with the focus on its privacy and security issues.  This research article proposes a machine learning approach for handling mini layered IoT devices of machine to human communication devices privacy and security concern issues with its solutions.  In future this research article targets with Macro layered IoT devices for the machine learning approach solution in privacy and security issues using cyber security techniques.