Secure android IoT mobile and collaborative machine learning for controlling the management of enterprise

Abstract

There is a need for increased security measures because of wide variety of android Internet of Thing (IoT) mobile devices that can communicate with each other via networks for controlling the management of enterprise. Elliptic Curve Deffie Hellman (ECDH) and Rivest Shamir Adleman (RSA) are used to secure data in android IoT phones in efficient manner. Android mobile can store a lot of data, including sensitive data. Protecting data saved on mobile has become a critical problem. In android IoT, Collaborative Machine Learning describes a method for collaboratively mining data, which makes it easier to manage and lowers cost of maintenance. To increase security in IoT phones, suggested system uses ECDH, RSA, and CML algorithms, which have been considered novelty of this method. RSA and ECDH are computed using time of decryption, encryption, and key generation. Conclusions show ECDH beats other alternatives like RSA. Finally, all users of the network have been tested.