A new method for fault detection of aero-engine based on isolation forest

H Wang, W Jiang, X Deng, J Geng - Measurement, 2021 - Elsevier
The research on fault detection of aero-engine is of great significance to its safe and reliable
operation. In this paper, a dynamic threshold method for aero-engine fault detection based …

A stream learning approach for real-time identification of false data injection attacks in cyber-physical power systems

E Hallaji, R Razavi-Far, M Wang, M Saif… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This paper presents a novel data-driven framework to aid in system state estimation when
the power system is under unobservable false data injection attacks. The proposed …

[HTML][HTML] Adaptive anomaly detection system based on machine learning algorithms in an industrial control environment

J Vávra, M Hromada, L Lukáš, J Dworzecki - International Journal of …, 2021 - Elsevier
Technology has become an integral part of contemporary society. The current transition from
an industrial society to an information society is accompanied by the implementation of new …

[PDF][PDF] A new proactive feature selection model based on the enhanced optimization algorithms to detect DRDoS attacks

RR Nuiaa, S Manickam, AH Alsaeedi… - Int. J. Electr. Comput …, 2022 - academia.edu
Cyberattacks have grown steadily over the last few years. The distributed reflection denial of
service (DRDoS) attack has been rising, a new variant of distributed denial of service …

Unknown attack detection based on zero-shot learning

Z Zhang, Q Liu, S Qiu, S Zhou, C Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
In recent years, due to the frequent occurrence of network intrusions, more and more
researchers have begun to focus on network intrusion detection. However, it is still a …