Raul Orduna Urrutia

Orcid: 0000-0002-5932-0987

According to our database1, Raul Orduna Urrutia authored at least 14 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Topological safeguard for evasion attack interpreting the neural networks' behavior.
Pattern Recognit., March, 2024

Enhancing Law Enforcement Training: A Gamified Approach to Detecting Terrorism Financing.
CoRR, 2024

2022
Understanding deep learning defenses against adversarial examples through visualizations for dynamic risk assessment.
Neural Comput. Appl., 2022

Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing.
Comput. Secur., 2022

Attacking Bitcoin anonymity: generative adversarial networks for improving Bitcoin entity classification.
Appl. Intell., 2022

Keystroke Presentation Attack: Generative Adversarial Networks for replacing user behaviour.
Proceedings of the 3rd European Symposium on Software Engineering, 2022

ChronoEOS: Configuration Control System Based on EOSIO Blockchain for On-Running Forensic Analysis.
Proceedings of the Blockchain and Applications, 4th International Congress, 2022

Security and 5G: Attack mitigation using Reinforcement Learning in SDN networks.
Proceedings of the 2022 IEEE Future Networks World Forum, 2022

2021
Towards Autonomous Defense of SDN Networks Using MuZero Based Intelligent Agents.
IEEE Access, 2021

NBcoded: Network Attack Classifiers Based on Encoder and Naive Bayes Model for Resource Limited Devices.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

SmartWarden: Automated Intrusion Detection System for Smart Contracts.
Proceedings of the 3rd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2021

2020
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment.
Proceedings of the 13th International Conference on Computational Intelligence in Security for Information Systems, 2020

Generative Adversarial Networks for Bitcoin Data Augmentation.
Proceedings of the 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2020

2019
Cascading Machine Learning to Attack Bitcoin Anonymity.
Proceedings of the IEEE International Conference on Blockchain, 2019


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