Risk Management of Information Threats in IT with the Help of Intelligent Disinformation Detection Systems
Year: 2024
Type: article
Abstract: The article describes an intelligent disinformation detection system that counteracts the spread of false information on the Internet. It uses modern text and data processing methods, including machine learning and natural language processing, to accurately identify fake news. The main function of the system is to provide a predictive assessment of the reliability of information, which helps users make informed decisions, minimising the risk of falling under the influence of disinformation. Real-world testing of the system has confirmed its ability to quickly identify fake information, contributing to the information literacy of users and raising their awareness of information threats. Such a system is an important element in strengthening information security, which is especially important for Ukraine in the face of numerous information challenges. The system also plays an important role in managing the risks of information threats in IT. The results of the study made it possible to identify potential threats in the form of disinformation that could be used to manipulate public opinion or undermine trust in institutions. Integration of intelligent systems into risk management processes allows for a timely response to threats, reducing their impact on IT infrastructure and preserving the reputation of organisations. The system can be applied not only in the IT sector, but also in journalism, education, and public administration, where it helps prevent disinformation that has a serious social impact. It can also be used to monitor and analyse information flows, which helps identify and counteract false information. Thus, the developed system is an important step in strengthening information security, providing protection against fake news and serving as an effective tool for managing the risks of information threats in today's digital society.
Institution: Yuriy Fedkovych Chernivtsi National University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409530796