Highly Efficient System of Spam Detection for IoT Gadgets with the Help of ML
E. Sujatha, P. Prabhu · 2024
IoT stands for Internet of things. This is a special technology whereby the group comprising gadgets in large numbers with various sensors and the actuators. These sensors and actuators are linked for transmission of data over wired or wireless channels. In the past decade, internet of things or IoT has grown rapidly. It was expected that by the end of 2020, 25 billion devices would be connected to IoT additionally. From all these connected devices, the volume of data released is expected to increase in the future and coming times ahead. Since, volume increase is expected, the data released from these devices will be increased as well in the coming times. Along with it, there would be modalities of various kinds with variable quality of data that is well defined by speed, if we consider their dependency on various factors such as time and position. The ML algorithms and other machine learning algorithms in such an environment plays a key role in authorization and security ensuring on the basis of biotechnology, detection of anomalies for the usability improvement and IoT systems and their security. In this article, we suggest the IoT security to detect the possible spams with the help of techniques such as machine learning. This objective can be achieved by in the framework of machine learning for IoT, the spam detection is suggested.