22 citations · 29 across the 11 of their papers we have counts for
12 papers
PoC-Adapt: Semantic-Aware Automated Vulnerability Reproduction with LLM Multi-Agents and Reinforcement Learning-Driven Adaptive Policy
Phan The Duy, Khoa Ngo-Khanh, Nguyen Huu Quyen +1
While recent approaches leverage large language models (LLMs) and multi-agent pipelines to automatically generate proof-of-concept (PoC) exploits from vulnerability reports, existi…
ContractShield: Bridging Semantic-Structural Gaps via Hierarchical Cross-Modal Fusion for Multi-Label Vulnerability Detection in Obfuscated Smart Contracts
Minh-Dai Tran-Duong, Nguyen Hai Phong, Nguyen Chi Thanh +4
Smart contracts are increasingly targeted by adversaries employing obfuscation techniques such as bogus code injection and control flow manipulation to evade vulnerability detectio…
ORACAL: A Robust and Explainable Multimodal Framework for Smart Contract Vulnerability Detection with Causal Graph Enrichment
Tran Duong Minh Dai, Triet Huynh Minh Le, M. Ali Babar +2
Although Graph Neural Networks (GNNs) have shown promise for smart contract vulnerability detection, they still face significant limitations. Homogeneous graph models fail to captu…
PenTiDef: Decentralized Federated Intrusion Detection System with Differential Privacy and Latent-Space Defense via Blockchain Coordination in IIoT
Phan The Duy, Nghi Hoang Khoa, Nguyen Tran Anh Quan +3
This paper proposes PenTiDef, a fully decentralized, privacy-preserving, and poisoning-resilient framework for decentralized federated IDS (DFL-IDS). PenTiDef synergistically integ…
DMLDroid: Deep Multimodal Fusion Framework for Android Malware Detection with Resilience to Code Obfuscation and Adversarial Perturbations
Doan Minh Trung, Tien Duc Anh Hao, Luong Hoang Minh +4
In recent years, learning-based Android malware detection has seen significant advancements, with detectors generally falling into three categories: string-based, image-based, and…
Raijū: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems
Van-Hau Pham, Hien Do Hoang, Phan Thanh Trung +3
In order to assess the risks of a network system, it is important to investigate the behaviors of attackers after successful exploitation, which is called post-exploitation. Althou…
On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors
Trong-Nghia To, Danh Le Kim, Do Thi Thu Hien +4
Recently, there has been a growing focus and interest in applying machine learning (ML) to the field of cybersecurity, particularly in malware detection and prevention. Several res…
Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection
Tran Duc Luong, Vuong Minh Tien, Nguyen Huu Quyen +3
The significant rise of security concerns in conventional centralized learning has promoted federated learning (FL) adoption in building intelligent applications without privacy br…
XFedHunter: An Explainable Federated Learning Framework for Advanced Persistent Threat Detection in SDN
Huynh Thai Thi, Ngo Duc Hoang Son, Phan The Duy +3
Advanced Persistent Threat (APT) attacks are highly sophisticated and employ a multitude of advanced methods and techniques to target organizations and steal sensitive and confiden…
VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model
Phan The Duy, Nghi Hoang Khoa, Nguyen Huu Quyen +4
This paper presents VulnSense framework, a comprehensive approach to efficiently detect vulnerabilities in Ethereum smart contracts using a multimodal learning approach on graph-ba…
B-DAC: A Decentralized Access Control Framework on Northbound Interface for Securing SDN Using Blockchain
Phan The Duy, Hien Do Hoang, Do Thi Thu Hien +2
Software-Defined Network (SDN) is a new arising terminology of network architecture with outstanding features of orchestration by decoupling the control plane and the data plane in…
A survey on Blockchain-based applications for reforming data protection, privacy and security
Phan The Duy, Do Thi Thu Hien, Van-Hau Pham
The modern society, economy and industry have been changed remarkably by many cutting-edge technologies over the last years, and many more are in development and early implementati…