Vulnerability Analysis of IoT Devices to Cyberattacks Based on Naive Bayes Classifier

IoT or Smart Word, as a global technology, is a rapidly growing concept of ICT systems interoperability covering many areas of life. Increasing the speed of data transmission, increasing the number of devices per square meter, reducing delays - all this is guaranteed by modern technologies in combination with the 5G standard. However, the key role is played by the aspect of protection and security of network infrastructure and the network itself. No matter what functions are to be performed by IoT, all devices included in such a system are connected by networks. IoT does not create a uniform environment, hence its vulnerability in the context of cybersecurity. This paper deals with the selection of a method to classify software vulnerabilities to cyber-attacks and threats in the network. The classifier will be created based on the Naive Bayes method. However, the quality analysis of the classifier, i.e., checking whether it classifies vulnerabilities correctly, was performed by plotting the ROC curve and analyzing the Area Under the Curve (AUC).