Models for early web-attacks detection and intruders identification based on fuzzy logic
Zhadyra Avkurova, Sergiy O. Gnatyuk, Bayan Abduraimova, Соломія Федушко, Yuriy Syerov, Olha Trach · Procedia Computer Science · 2022
Modern information and communication technologies are implemented in vatious spheres (in particular, sectors of the critical infrastructute), but these technologies are vulnerable to web-attacks and other emerging threats. Early detection of such threats is a relevant and important research task without universal solution for various information and communication systems. In this paper, a method of linguistic terms using statistical data was used for structural and analytical models of the host and network parameters construction. Based on these models, system of the logical rules can be developed to provide the functioning of web-attacks detection system. In the future, given results as well as system of the logical rules can be used to create advanced intrusion detection system based on honeypot technology (or others) for web-attacks detection and intruder identification.