Heuristic Machine Learning Enhancement Approach for Privacy and Security in Micro Layer IoT Devices Using Cyber Security Techniques

Abstract

The current digital life is incorporated with IoT devices in which the communication from one entity to another entirely depends upon the electronic data signals with vast amount of information.  The existing strategies to control these IoT devices are not in an easier state nowadays.  Each IoT device handles its own type of data so that their communication system dependent data is always ready for their use and moreover it’s not feasible for them to provide security to their data.  The distributed IoT device information system is a collection of data with different formats which requires more effort to handle it in an efficient manner by maintains the proper privacy and security.  The process of identifying the IoT devices, cracking its communication strategy, understanding the security issues within the system is a complex process to implement.  The existing methodologies focus on the IoT device features but resulted with improper classification and unrelated information data sets.  This research article proposes a machine learning approach for identifying the micro layer IoT device privacy and security issues.  In future this research paper will be extended with the implementation ofmachine learning based Macro level IoT devices privacy and security maintenance.