Analysis of Machine Learning Data Security in the Internet of Things (IoT) Circumstance B. Barani Sundaram, Amit Pandey, Aschalew Tirulo Abiko, Janga Vijaykumar, Umang Rastogi, Adola Haile Genale, and P. Karthika Abstract The current Internet of things (IoT) technologies will also have a profound economic, industrial and social influence on society. Teh ability of nodes to participate in IoT networks is generally resource-constrained, that also allows them to attract objectives for cyber threats. An extensive research has been conducted to address the issues of security and privacy in IoT networks, primarily through the conventional authentication approaches. The main goal is to review the current research learning related to the safety issues of the IoT and provides an information understanding on the topic. The manual scientific visualization study was carried out over a number of articles, and out of which, 58 research articles are selected for careful observation. From the articles, impacts and solutions with future research on security within IoT gateway have been identified. These visualization researchers have indicated key concerns as well as number of solutions. The findings also indicated the challenges in achieving secured data protection management and data center integration, which still require efficient solutions. The outcome of the physical ınstitutional mapping B. Barani Sundaram (B ) Bule Hora University, Bule Hora, Ethiopia A. Pandey College of Informatics, CSRSCD Bule Hora University, Bule Hora, Ethiopia e-mail: amit.pandey@live.com A. T. Abiko School of Computing and Informatics, Wachemo University, Hosana, Ethiopia J. Vijaykumar Department of Information Technology, College of Informatics, Bule Hora University, Bule Hora, Ethiopia U. Rastogi MIET, Meerut, Uttar Pradesh, India e-mail: Umang.rastogi@miet.ac.in A. H. Genale Department of Information Science, Adola Haile Genale, Bule Hora University, Bule Hora, Ethiopia P. Karthika Kalasalingam Academy of Research and Education, Krishnankoil, India © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 I. Jeena Jacob et al. (eds.), Expert Clouds and Applications, Lecture Notes in Networks and Systems 209, https://doi.org/10.1007/978-981-16-2126-0_20 227