Do Thi Thu Hien
Orcid: 0000-0001-9387-7909
According to our database1,
Do Thi Thu Hien authored at least 35 papers
between 2018 and 2026.
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Bibliography
2026
Red-MIRROR: Agentic LLM-based Autonomous Penetration Testing with Reflective Verification and Knowledge-augmented Interaction.
CoRR, March, 2026
A multimodal approach for windows malware detection using comprehensive analysis on called APIs.
J. Inf. Secur. Appl., 2026
A study on functionality validation for windows malware mutating using reinforcement learning.
Inf. Softw. Technol., 2026
Leveraging LLMs to Support Malware Analysis from Structured and Semantic Binary Data.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems: 18th Asian Conference, 2026
2025
On the effectiveness of adversarial samples against ensemble learning-based windows PE malware detectors.
Int. J. Inf. Sec., February, 2025
2024
Defect-scanner: a comparative empirical study on language model and deep learning approach for software vulnerability detection.
Int. J. Inf. Sec., December, 2024
Fed-LSAE: Thwarting poisoning attacks against federated cyber threat detection system via Autoencoder-based latent space inspection.
J. Inf. Secur. Appl., 2024
Fed-Evolver: An automated evolving approach for federated Intrusion Detection System using adversarial autoencoder in SDN-enabled networks.
Internet Things, 2024
A Coverage-Guided Fuzzing Method for Automatic Software Vulnerability Detection Using Reinforcement Learning-Enabled Multi-Level Input Mutation.
IEEE Access, 2024
BinShoo: Binary Code Similarity Detection Using Optimized Function Embedding and Siamese Neural Network.
Proceedings of the International Conference on Computing and Communication Technologies, 2024
A multimodal Windows malware detection method based on hybrid analysis and graph representations.
Proceedings of the International Conference on Multimedia Analysis and Pattern Recognition, 2024
2023
Future Internet, July, 2023
Investigating on the robustness of flow-based intrusion detection system against adversarial samples using Generative Adversarial Networks.
J. Inf. Secur. Appl., May, 2023
An ANP-TOPSIS model for tourist destination choice problems under Temporal Neutrosophic environment.
Appl. Soft Comput., March, 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
2022
B-DAC: A decentralized access control framework on Northbound interface for securing SDN using blockchain.
J. Inf. Secur. Appl., 2022
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 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
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
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
Empirical Study on Reconnaissance Attacks in SDN-aware Network for Evaluating Cyber Deception.
Proceedings of the RIVF International Conference on Computing and Communication Technologies, 2021
2020
A survey on Blockchain-based applications for reforming data protection, privacy and security.
CoRR, 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
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020
2019
Proceedings of the Tenth International Symposium on Information and Communication Technology, 2019
Proceedings of the 19th International Symposium on Communications and Information Technologies, 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
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