With the growing use of electronic cash cards, the number of transactions with these cards
has also increased rapidly, so the importance of using fraud detection models has been paid …

This article will allow users to search for the necessary information about DDOS attacks
around the world and predict future attacks, check whether their network protection is …

Acts of fraud have become much more prevalent in the financial industry with the rise of
technology and the continued economic growth in modern society. Fraudsters are evolving …

The so-called" dark web" has emerged as the most trustworthy platform for thieves to launch
their enterprises. The healthcare industry has become a haven for illegal activities such as …

The increase in the number of international wires requires a more efficient way of reviewing
activity than the previous reactive approach. Waiting for victims of fraud to report activity …

Machine learning (ML) algorithms are excellent at predicting outcomes rather than
explaining causality. On the other hand, deep learning algorithms such as deep neural …

The work's aim is to research a set of selected mathematical models and algorithms that
examine the data of a single payment transaction to classify it as fraud or verified. Described …

Corruption is a phenomenon with devastating consequences for the economic, social and
political well-being of nations. If there is an area where corruption is present, that is the …