About Event:

The Internet of Things IoT is a new paradigm for the development of ubiquitous computing, which enables the connection of billions of heterogeneous devices with each other and the cloud. IoT is being used in many different applications, from smart homes to big data analytics. However, the IoT infrastructure is vulnerable to security threats, such as data breaches, man-in-the-middle attacks, and malicious actors. Furthermore, energy consumption is an important factor in IoT networks, as many IoT devices are battery-powered and need to conserve energy. Machine learning techniques are being increasingly used to enhance the security and energy efficiency of the IoT network. Machine learning algorithms can be used to detect malicious activities in the network and protect against them. It can also be used to identify anomalies in the network, which can be used to detect potential security threats. Furthermore, machine learning techniques can be used to optimize energy consumption in the network, by predicting energy demands and adjusting the network accordingly.