Quang-Vinh Dang

Orcid: 0000-0002-3877-8024

Affiliations:
  • Industrial University of Ho Chi Minh City, Vietnam
  • University of Lorraine, Nancy, France (PhD 2018)


According to our database1, Quang-Vinh Dang authored at least 29 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Using Transformer Technique for Intrusion Detection.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2023

2022
Using Machine Learning for Intrusion Detection Systems.
Comput. Informatics, 2022

Detecting Intrusion Using Multiple Datasets in Software-Defined Networks.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

Enhancing Obfuscated Malware Detection with Machine Learning Techniques.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022

2021
Improving the performance of the intrusion detection systems by the machine learning explainability.
Int. J. Web Inf. Syst., 2021

Assessing the Quality of Wikipedia Articles.
Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021

Reinforcement Learning for the Problem of Detecting Intrusion in a Computer System.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021

Group's Influence Value in Logistic Regression Model and Gradient Boosting Model.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021

Users trust assessment based on their past behavior in large scale collaboration.
Proceedings of the 17th IEEE International Conference on Intelligent Computer Communication and Processing, 2021

Intrusion Detection in Software-Defined Networks.
Proceedings of the Future Data and Security Engineering - 8th International Conference, 2021

Towards an automatic interior design system using GAN.
Proceedings of the DSIT 2021: 4th International Conference on Data Science and Information Technology, Shanghai, China, July 23, 2021

Evaluating machine learning algorithms for intrusion detection systems using the dataset CIDDS-002.
Proceedings of the CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering, Singapore, October 22, 2021

2020
Active Learning for Intrusion Detection Systems.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

Digital Signatures Using Hardware Security Modules for Electronic Bills in Vietnam: Open Problems and Research Directions.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2020

Understanding the Decision of Machine Learning Based Intrusion Detection Systems.
Proceedings of the Future Data and Security Engineering - 7th International Conference, 2020

2019
The Influence of Trust Score on Cooperative Behavior.
ACM Trans. Internet Techn., 2019

Reinforcement Learning in Stock Trading.
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2019

Studying Machine Learning Techniques for Intrusion Detection Systems.
Proceedings of the Future Data and Security Engineering - 6th International Conference, 2019

2018
Trust assessment in large-scale collaborative systems. (Évaluation de la confiance dans la collaboration à large échelle).
PhD thesis, 2018

Outlier detection on network flow analysis.
CoRR, 2018

Utilizing attack enumerations to study SDN/NFV vulnerabilities.
Proceedings of the 4th IEEE Conference on Network Softwarization and Workshops, 2018

Link-Sign Prediction in Dynamic Signed Directed Networks.
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

2017
An end-to-end learning solution for assessing the quality of Wikipedia articles.
Proceedings of the 13th International Symposium on Open Collaboration, 2017

dTrust: A Simple Deep Learning Approach for Social Recommendation.
Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017

2016
Quality assessment of wikipedia articles: a deep learning approach by Quang Vinh Dang and Claudia-Lavinia Ignata with Martin Vesely as coordinator.
SIGWEB Newsl., 2016

Computational Trust Model for Repeated Trust Games.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Performance of real-time collaborative editors at large scale: User perspective.
Proceedings of the 2016 IFIP Networking Conference, 2016

Quality Assessment of Wikipedia Articles without Feature Engineering.
Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

Measuring Quality of Collaboratively Edited Documents: The Case of Wikipedia.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016


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