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.

KEYWORDS:

• IoT
• ECDH
• RSA
• CML
• android
• encryption
• decryption

Acknowledgements

Authors thanks Editors and Reviewers of Journal of Control and Decision for reviewing and evaluating this article.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Hamza Mohammed Ridha Al-Khafaji

Hamza Mohammed Ridha Al-Khafaji received the B.Sc. degree in electronic and communications engineering and the M.Sc. degree in modern communications engineering in 2004 and 2007, respectively, from Nahrain University, Baghdad, Iraq. He has five years of working experience as a senior BSS engineer in Huawei Technologies and Omnnea Wireless Telecom, Iraq from 2006 until 2010. In 2014, he obtained his Ph.D. degree in communication engineering from University Malaysia Perlis. After that, he completed one year postdoctoral research in University Technology Malaysia. Currently, he is a lecturer at Al-Mustaqbal University College, Iraq since Sept. 2015. His research interests are in next generation wireless networks, Internet of Things, and optical fibre communication systems.

Refed Adnan Jaleel

Refed Adnan Jaleel received the B.Sc. & M.Sc. degree in Information and Communications Engineering in 2014 and 2020, respectively, from Baghdad University-Al-Khawarizmi-Engineering-College and Al-Nahrain University-Information Engineering College, Baghdad, Iraq. Her research interests are in Internet of Things, Software Defined Networks, Security, Wireless Sensor Networks, Information Systems, Meta-heuristic Algorithms, Artificial Intelligence, Machine Learning, Data Mining, Data Warehouse, Recommender Systems, Image Processing, Cloud Computing, Fuzzy Logic Techniques, and Database Management Systems. She worked as an Editor & Reviewer and she has published many articles in international journals and conference proceedings. She also has many certificates of participation in scientific symposia and electronic workshops.