Roland Bolboaca

Orcid: 0000-0002-4825-8786

According to our database1, Roland Bolboaca authored at least 11 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Feature analysis and ensemble-based fault detection techniques for nonlinear systems.
Neural Comput. Appl., June, 2025

2024
Privacy-Oriented Feature Selection for Multivariate Time Series Classification.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

Evaluation Techniques for Long Short-Term Memory Models: Overfitting Analysis and Handling Missing Values.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2024

Network Intrusion Detection System Using Anomaly Detection Techniques.
Proceedings of the 20th IEEE International Conference on Intelligent Computer Communication and Processing, 2024

2022
Adaptive Ensemble Methods for Tampering Detection in Automotive Aftertreatment Systems.
IEEE Access, 2022

Tampering Detection for Automotive Exhaust Aftertreatment Systems using Long Short-Term Memory Predictive Networks.
Proceedings of the IEEE European Symposium on Security and Privacy, 2022

2021
A Statefull Firewall and Intrusion Detection System Enforced with Secure Logging for Controller Area Network.
Proceedings of the EICC '21: European Interdisciplinary Cybersecurity Conference, 2021

2020
MixCAN: Mixed and Backward-Compatible Data Authentication Scheme for Controller Area Networks.
Proceedings of the 2020 IFIP Networking Conference, 2020

LOKI: A Lightweight Cryptographic Key Distribution Protocol for Controller Area Networks.
Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Locality sensitive hashing for tampering detection in automotive systems.
Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020

2019
Using Side-Channels to Detect Abnormal Behavior in Industrial Control Systems.
Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019


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