Enhancing Cloud Data Security through the Integration of Machine Learning Model & Homomorphic Encryption Technology

Abstract

In the last decades, Cloud Computing trend has got a boost growth. The main reason behind was establishment of Large & Small Organization of every field. Due to its privileges and flexible nature, numerous organizations adopt it. The main benefit customer get is that they do not have to spend huge amount for the system they want to compute their task, but Cloud provide resources for that like software, hardware, data storage etc. The significant challenge that the Cloud Providers and Customer are facing was security concern towards data which is stored on the third party cloud server. It is the trust of the customer to Providers that their data is safe evens the data accessible or travelling over the internet or over the network which is essential for the honor of the service providers company. So here we are reviewing a Machine Learning trained Model that can analyze access patterns and data usage frequently. By monitoring these patterns and frequency of data usage, Model predict Security threats and apply a Homomorphic Encryption Technology on the data before transmit over the Network which results the enhancement of the Privacy & Security.