Trung V. Phan

Orcid: 0000-0002-4018-0275

According to our database1, Trung V. Phan authored at least 26 papers between 2016 and 2022.

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

Timeline

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Bibliography

2022
DeepAir: Deep Reinforcement Learning for Adaptive Intrusion Response in Software-Defined Networks.
IEEE Trans. Netw. Serv. Manag., 2022

On System Stability in Multitier Roadside Computing Toward an Intelligent Transportation.
IEEE Trans. Netw. Sci. Eng., 2022

Securing Heterogeneous IoT With Intelligent DDoS Attack Behavior Learning.
IEEE Syst. J., 2022

DeepPlace: Deep reinforcement learning for adaptive flow rule placement in Software-Defined IoT Networks.
Comput. Commun., 2022

FEAR: Federated Cyber-Attack Reaction in Distributed Software-Defined Networks with Deep Q-Network.
Proceedings of the 2022 Wireless Telecommunications Symposium, 2022

2021
Federated Deep Reinforcement Learning for Traffic Monitoring in SDN-Based IoT Networks.
IEEE Trans. Cogn. Commun. Netw., 2021

Bootstrapped Motion of an Agent on an Adaptive Resource Landscape.
Symmetry, 2021

Hit Ratio and Content Quality Tradeoff for Adaptive Bitrate Streaming in Edge Caching Systems.
IEEE Syst. J., 2021

An efficient distributed algorithm for target-coverage preservation in wireless sensor networks.
Peer-to-Peer Netw. Appl., 2021

DeepMatch: Fine-Grained Traffic Flow Measurement in SDN With Deep Dueling Neural Networks.
IEEE J. Sel. Areas Commun., 2021

2020
DeepGuard: Efficient Anomaly Detection in SDN With Fine-Grained Traffic Flow Monitoring.
IEEE Trans. Netw. Serv. Manag., 2020

$Q$ - TRANSFER: A Novel Framework for Efficient Deep Transfer Learning in Networking.
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

Efficient SDN-Based Traffic Monitoring in IoT Networks with Double Deep Q-Network.
Proceedings of the Computational Data and Social Networks - 9th International Conference, 2020

2019
Efficient Distributed Denial-of-Service Attack Defense in SDN-Based Cloud.
IEEE Access, 2019

SeArch: A Collaborative and Intelligent NIDS Architecture for SDN-Based Cloud IoT Networks.
IEEE Access, 2019

A Novel Impact Analysis Approach for SDN-based Networks.
Proceedings of the 5th IEEE Conference on Network Softwarization, 2019

Destination-aware Adaptive Traffic Flow Rule Aggregation in Software-Defined Networks.
Proceedings of the 2019 International Conference on Networked Systems, 2019

A Robust TCP-SYN Flood Mitigation Scheme Using Machine Learning Based on SDN.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

Q-MIND: Defeating Stealthy DoS Attacks in SDN with a Machine-Learning Based Defense Framework.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning.
Proceedings of the 15th International Conference on Network and Service Management, 2019

2018
Probability Analysis of Successful Cyber Attacks in SDN-based Networks.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2018

2017
Distributed-SOM: A novel performance bottleneck handler for large-sized software-defined networks under flooding attacks.
J. Netw. Comput. Appl., 2017

Securing Heterogeneous IoT with Intelligent DDoS Attack Behavior Learning.
CoRR, 2017

Optimizing resource allocation for elastic security VNFs in the SDNFV-enabled cloud computing.
Proceedings of the 2017 International Conference on Information Networking, 2017

2016
A Novel Hybrid Flow-Based Handler with DDoS Attacks in Software-Defined Networking.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

Flow-based consensus partitions for botnet detection.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2016


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