Soft computing based Machine Learning Enhancement Approach for Privacy and Security in Macro Layer IoT Devices Using Cyber Security Techniques
Keywords:
Machine learning, IoT, Cyber security, Macro layer, Privacy dataAbstract
The communication and access domination of IoT devices from human to machine or machine to human are one way controllable through user or administrator in the entire communication system with easier manner but it is entirely different on machine to machine communicating IoT devices. The timing of data communication may be unknown for the user/administrator in machine to machine focused IoT devices and more number of cases with wireless mode than with the wired mode. The process of collecting the data, ordering the data, and checks for privacy and security issues in a machine to machine IoT device is a complex process to implement. The existing methodologies focus on the IoT device connection management to the network and verify the communication among several network devices either in local server or to a remote server. This research article proposes anoptimistic machine learning enhancement approach for privacy and security in macro layer IoT devices using cyber security techniques. In future this research paper will be extended with the implementation ofautomated privacy and security module towards all the major layers of IoT devices such as micro, mini and macro layer IoT devices.
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