In the ever-growing realm of the Internet of Things (IoT), ensuring the security of interconnected devices is of paramount importance.This paper discusses the process of spotting cyber breaches in IoT devices, a significant concern that needs urgent attention due to the susceptibility of these devices to hacking and other cyber threats.With billions of IoT devices worldwide, the detection and prevention of cybersecurity breaches are critical for maintaining the integrity and functionality of networks and systems.In this paper, we showcase the outcomes achieved by employing the LightGBM technique for a cyberattack prediction challenge, which was a part of the FedCSIS 2023 conference.

Assigning data to one of two predefined classes is called a classification problem in machine learning (ML). This problem is very important and has become very popular, which has resulted in many methods designed to solve it. One of the problems we may encounter in the construction of this model is that the classes are not balanced – the classes have significantly different sizes. Of course, methods have been proposed to deal with this problem, one of which is to enlarge the minority class to the size of the larger class. In this paper, we present results obtained using the generative adversarial network (GAN) model to generate samples to increase the quality of binary classifier detecting malicious programs which was the goal of one of the competitions organized as part of the IEEE BigData 2022 conference. The GAN model we chose is the Wasserstein GAN (with gradient penalty), and the classifier is the LightGBM model. We reduced the RMSE on the public part of the test data from 0.19088 to 0.13497, and on the entire test set the RMSE difference was 0.11276. Due to some randomness in this solution, we showed that the presented method improves the quality of the classifier on average.

When selling goods abroad or bringing them into the country from foreign partners, we face the problem of delivery.The division of responsibilities related to this between the manufacturer and the recipient sometimes varies.In such a situation, it is reasonable to use the services of a forwarding company.Then a forwarding contract is concluded, which specifies the details of the service, but the most important issue remains the selection of its price.In this paper, we present results obtained using the LightGBM method on the forwarding contracts pricing challenge held as part of the FedCSIS 2022 conference.