Хажжуз А. (науч. рук. Авксентьева Е.Ю.) Machine learning for apt detection in industrial iot
Industrial Security Breach! Groundbreaking study uses Machine Learning (CatBoost) to detect advanced persistent threats (APTs) in Industrial IoT (IIoT). Leveraging a new dataset (CIC APT IIoT 2024), it achieves unprecedented accuracy & blazing speed (1.6M samples/sec!). Key attack indicators identified. This means superior protection for critical infrastructure against sophisticated cyberattacks!
Хажжуз А. (науч. рук. Авксентьева Е.Ю.) Machine learning for apt detection in industrial iot // Сборник тезисов докладов конгресса молодых ученых. Электронное издание. – СПб: Университет ИТМО, [2025]. URL: https://kmu.itmo.ru/digests/article/15416