Makine öğrenmeyi kullanarak ıot ağlarında sözleşme algılama sistemi

When we talk about the Internet of Things (IoT), we are referring to any physical object that has been integrated with technological capabilities which let them acquire and distribute information over the Internet. Individuals are at risk of cyber-attacks as a result of the expanding number of security vulnerabilities linked with the Internet of Things, as well as the rapid proliferation of IoT devices in residential settings. Designing a security solution for Internet of Things devices is difficult due to the low power and processing capabilities of these devices. In this paper, we propose use of IDS in the process of developing a data flow classification approach that allows identification of common threats in IOT networks, we utilize CNN and RNN algorithms with simple modifications for further accuracy.