Anomaly Detection

Son Teslim Tarihi: 20 Ocak 2022 23:00
Machine Learning Neural Networks R Studio, Bilgisayar , Dataset Big Data Stack R Language Knn
Network Anomaly Detection. An automated learning system, that collects network incoming traffic information, and prepares a normal behaviour pattern to analyse if there is any anomaly or attack behaviour on real-world traffic. Collected data will be inserted into a database of sample traffic. Different AI algorithms will be used to define, the normal pattern of the traffic. Nearest Neighbour algorithms are good candidates for pattern creation. Test traffic will be analyzed with a created algorithm, and the result will be validated to fine-tune the pattern.

Bu Görev Yayında Değil