[1]
|
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)
Lecture Notes in Networks and Systems,
2023
DOI:10.1007/978-3-031-18050-7_1
|
|
|
[2]
|
A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems
Electronics,
2023
DOI:10.3390/electronics12153283
|
|
|
[3]
|
International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023)
Lecture Notes in Networks and Systems,
2023
DOI:10.1007/978-3-031-42519-6_4
|
|
|
[4]
|
Malware detection framework based on graph variational autoencoder extracted embeddings from API-call graphs
PeerJ Computer Science,
2022
DOI:10.7717/peerj-cs.988
|
|
|
[5]
|
Applications of deep learning algorithms for Supervisory Control and Data Acquisition intrusion detection system
Cleaner Engineering and Technology,
2022
DOI:10.1016/j.clet.2022.100532
|
|
|
[6]
|
Research on Security Anomaly Detection for Big Data Platforms Based on Quantum Optimization Clustering
Mathematical Problems in Engineering,
2022
DOI:10.1155/2022/4805035
|
|
|
[7]
|
A Review of Research Works on Supervised Learning Algorithms for SCADA Intrusion Detection and Classification
Sustainability,
2021
DOI:10.3390/su13179597
|
|
|
[8]
|
A homogeneous ensemble based dynamic artificial neural network for solving the intrusion detection problem
International Journal of Critical Infrastructure Protection,
2021
DOI:10.1016/j.ijcip.2021.100449
|
|
|
[9]
|
Analysis of Anomaly Detection Approaches Performed Through Deep Learning Methods in SCADA Systems
2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA),
2021
DOI:10.1109/HORA52670.2021.9461273
|
|
|
[10]
|
A homogeneous ensemble based dynamic artificial neural network for solving the intrusion detection problem
International Journal of Critical Infrastructure Protection,
2021
DOI:10.1016/j.ijcip.2021.100449
|
|
|