Phan The Duy

Orcid: 0000-0002-5945-3712

Affiliations:
  • Vietnam National University, Ho Chi Minh City, Vietnam


According to our database1, Phan The Duy authored at least 51 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT.
Internet Things, December, 2023

Investigating on the robustness of flow-based intrusion detection system against adversarial samples using Generative Adversarial Networks.
J. Inf. Secur. Appl., May, 2023

Raijū: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems.
CoRR, 2023

XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection.
CoRR, 2023

On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors.
CoRR, 2023

Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection.
CoRR, 2023

XFedHunter: An Explainable Federated Learning Framework for Advanced Persistent Threat Detection in SDN.
CoRR, 2023

VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model.
CoRR, 2023

Shark-Eyes: A multimodal fusion framework for multi-view-based phishing website detection.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

DoppelSearch: A Novel Approach to Content-Based Video Retrieval for AI Challenge HCMC 2023.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Binary Representation Embedding and Deep Learning For Binary Code Similarity Detection in Software Security Domain.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Contextual Language Model and Transfer Learning for Reentrancy Vulnerability Detection in Smart Contracts.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

BlazeSearch: A multimomal semantic search engine for retrieving in-video information for AI Challenge HCMC 2023.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

WebGuardRL: An Innovative Reinforcement Learning-based Approach for Advanced Web Attack Detection.
Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

DeFL-BC: Empowering Reliable Cyberattack Detection through Decentralized Federated Learning and Poisoning Attack Defense.
Proceedings of the International Conference on Computing and Communication Technologies, 2023

On the effectiveness of transferability of adversarial Android malware samples against learning-based detectors.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2023

MalDEX: An Explainable Malware Detection System Based on Ensemble Learning.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2023

XFedGraph-Hunter: An Interpretable Federated Learning Framework for Hunting Advanced Persistent Threat in Provenance Graph.
Proceedings of the Information Security Practice and Experience, 2023

FedLS: An Anti-poisoning Attack Mechanism for Federated Network Intrusion Detection Systems Using Autoencoder-Based Latent Space Representations.
Proceedings of the Information Security Practice and Experience, 2023

A Consensus Protocol for Incentivizing Contribution from Decentralized Community for Machine Learning-based Scamming Website Detection.
Proceedings of the International Conference on System Science and Engineering, 2023

A Multimodal Deep Learning Approach for Efficient Vulnerability Detection in Smart Contracts.
Proceedings of the IEEE Global Communications Conference, 2023

MIDAS: A Multi-chain Interoperable Data and Access System for Healthcare.
Proceedings of the Computational Data and Social Networks - 12th International Conference, 2023

2022
B-DAC: A decentralized access control framework on Northbound interface for securing SDN using blockchain.
J. Inf. Secur. Appl., 2022

Intrusion Detection with Big Data Analysis in SDN-Enabled Networks.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2022

A Privacy-Preserving Approach For Building Learning Models in Smart Healthcare using Blockchain and Federated Learning.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

Leveraging Deep Learning Image Classifiers for Visual Similarity-based Phishing Website Detection.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

A Method of Mutating Windows Malwares using Reinforcement Learning with Functionality Preservation.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

Leveraging Reinforcement Learning and Generative Adversarial Networks to Craft Mutants of Windows Malware against Black-box Malware Detectors.
Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

A federated threat hunting system with big data analysis for SDN-enabled networks.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Adversarial AutoEncoder and Generative Adversarial Networks for Semi-Supervised Learning Intrusion Detection System.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Cyber Threat Intelligence for Proactive Defense against Adversary in SDN-assisted IIoTs context.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Leveraging Deep Reinforcement Learning for Automating Penetration Testing in Reconnaissance and Exploitation Phase.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

DA-GAN: Domain Adaptation for Generative Adversarial Networks-assisted Cyber Threat Detection.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

A Blockchain-based approach and Attribute-based Encryption for Healthcare Record Data Exchange.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

A Method for Flexible Definition and Automatic Implementation of Laboratory Environment in Online Training Platforms.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2022

Federated Intrusion Detection on Non-IID Data for IIoT Networks Using Generative Adversarial Networks and Reinforcement Learning.
Proceedings of the Information Security Practice and Experience, 2022

Federated Learning-Based Cyber Threat Hunting for APT Attack Detection in SDN-Enabled Networks.
Proceedings of the 21st International Symposium on Communications and Information Technologies, 2022

Fool Your Enemies: Enable Cyber Deception and Moving Target Defense for Intrusion Detection in SDN.
Proceedings of the 21st International Symposium on Communications and Information Technologies, 2022

2021
DIGFuPAS: Deceive IDS with GAN and function-preserving on adversarial samples in SDN-enabled networks.
Comput. Secur., 2021

A Deep Transfer Learning Approach for Flow-Based Intrusion Detection in SDN-Enabled Network.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2021

Strengthening IDS against Evasion Attacks with GAN-based Adversarial Samples in SDN-enabled network.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021

Federated Learning-Based Intrusion Detection in the Context of IIoT Networks: Poisoning Attack and Defense.
Proceedings of the Network and System Security - 15th International Conference, 2021

A Secure and Privacy Preserving Federated Learning Approach for IoT Intrusion Detection System.
Proceedings of the Network and System Security - 15th International Conference, 2021

2020
A survey on Blockchain-based applications for reforming data protection, privacy and security.
CoRR, 2020

CVSS Based Attack Analysis Using a Graphical Security Model: Review and Smart Grid Case Study.
Proceedings of the Smart Grid and Internet of Things - 4th EAI International Conference, 2020

Forensic analysis of TikTok application to seek digital artifacts on Android smartphone.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020

2019
A Security-Enhanced Monitoring System for Northbound Interface in SDN using Blockchain.
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019

Toward a Trust-Based Authentication Framework of Northbound Interface in Software Defined Networking.
Proceedings of the Industrial Networks and Intelligent Systems, 2019

Aloba: A Mechanism of Adaptive Load Balancing and Failure Recovery in Distributed SDN Controllers.
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019

Mitigating Flow Table Overloading Attack with Controller-based Flow Filtering Strategy in SDN.
Proceedings of the ICCNS 2019: The 9th International Conference on Communication and Network Security, 2019

2018
A survey on opportunities and challenges of Blockchain technology adoption for revolutionary innovation.
Proceedings of the Ninth International Symposium on Information and Communication Technology, 2018


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