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DIGFuPAS: Deceive IDS with GAN and function-preserving on adversarial samples in SDN-enabled networks

Computers & security, 2021-10, Vol.109, p.102367, Article 102367

2021

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AAGAN: Android Malware Generation System Based on Generative Adversarial Network

Vietnam journal of computer science, 2024-05, Vol.11 (2), p.275-299

2024

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Android Malware Category and Family Classification Using Static Analysis

2023 International Conference on Information Networking (ICOIN), 2023, p.162-167

2023

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Investigating on the robustness of flow-based intrusion detection system against adversarial samples using Generative Adversarial Networks

Journal of information security and applications, 2023-05, Vol.74, p.103472, Article 103472

2023

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IncWAD: An Incremental Learning Approach for Web Attack Detection using MLOps

2023 International Conference on Advanced Technologies for Communications (ATC), 2023, p.166-171

2023

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On the effectiveness of transferability of adversarial Android malware samples against learning-based detectors

2023 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2023, p.1-6

2023

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A Multimodal Deep Learning Approach for Efficient Vulnerability Detection in Smart Contracts

GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2023, p.3421-3426

2023

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Forensic analysis of TikTok application to seek digital artifacts on Android smartphone

2020 RIVF International Conference on Computing and Communication Technologies (RIVF), 2020, p.1-5

2020

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Fruits classification by using machine learning - An experiment using popular approaches on local data

2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT), 2021, p.1-6

2021

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FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT

Internet of things (Amsterdam. Online), 2023-12, Vol.24, p.100966, Article 100966

2023

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Proposing Automatic Dataset Generation System to Support Android Sensitive Data Leakage Detection Systems

Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, 2019, p.78-83

2019

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A case study for evaluating learners' behaviors from online cybersecurity training platform on digital forensics subject

2022 International Conference on Advanced Technologies for Communications (ATC), 2022, p.251-256

2022

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Fool Your Enemies: Enable Cyber Deception and Moving Target Defense for Intrusion Detection in SDN

2022 21st International Symposium on Communications and Information Technologies (ISCIT), 2022, p.27-32

2022

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An Approach for Service Function Chain Orchestration in Combination with SDN-based Network

2021 8th NAFOSTED Conference on Information and Computer Science (NICS), 2021, p.155-160

2021

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Leveraging Reinforcement Learning and Generative Adversarial Networks to Craft Mutants of Windows Malware against Black-box Malware Detectors

The 11th International Symposium on Information and Communication Technology, 2022, p.31-38

2022

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Detect repackaged Android applications by using representative graphs

2021 8th NAFOSTED Conference on Information and Computer Science (NICS), 2021, p.102-106

2021

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Detect Android malware by using deep learning: Experiment and Evaluation

Proceedings of the 2021 5th International Conference on Machine Learning and Soft Computing, 2021, p.129-134

2021

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Cyber Threat Intelligence for Proactive Defense against Adversary in SDN-assisted IIoTs context

2022 RIVF International Conference on Computing and Communication Technologies (RIVF), 2022, p.1-6

2022

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A Method of Mutating Windows Malwares using Reinforcement Learning with Functionality Preservation

The 11th International Symposium on Information and Communication Technology, 2022, p.142-149

2022

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Forensics analysis of FacePlay application to seek digital artifacts on data ownership and privacy

2021 8th NAFOSTED Conference on Information and Computer Science (NICS), 2021, p.107-112

2021

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SDN-Based Cyber Deception Deployment for Proactive Defense Strategy Using Honey of Things and Cyber Threat Intelligence

Intelligence of Things: Technologies and Applications, 2023, Vol.188, p.269-278

2023

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uitXkernel: Android Kernel Forensic for Security Analysis Purposes

Intelligent Computing & Optimization, 2022, Vol.569, p.1148-1158

2022

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UIT-ADF: A System for Android Device Forensics

Intelligent Computing & Optimization, 2022, Vol.569, p.290-299

2022

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Gather Android Application Information on Google Play for Machine Learning Based Security Analysis

Artificial Intelligence in Data and Big Data Processing, 2022, Vol.124, p.353-365

2022

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Direct experimental evidence for the adsorption of 4-tert-butylpyridine and 2,2′-bipyridine on TiO2 surface and their influence on dye-sensitized solar cells’ performance

Applied surface science, 2020-04, Vol.509, p.144878, Article 144878

2020

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DIGFuPAS: Deceive IDS with GAN and function-preserving on adversarial samples in SDN-enabled networks

AAGAN: Android Malware Generation System Based on Generative Adversarial Network

Android Malware Category and Family Classification Using Static Analysis

Investigating on the robustness of flow-based intrusion detection system against adversarial samples using Generative Adversarial Networks

IncWAD: An Incremental Learning Approach for Web Attack Detection using MLOps

On the effectiveness of transferability of adversarial Android malware samples against learning-based detectors

A Multimodal Deep Learning Approach for Efficient Vulnerability Detection in Smart Contracts

Forensic analysis of TikTok application to seek digital artifacts on Android smartphone

Fruits classification by using machine learning - An experiment using popular approaches on local data

FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT

Proposing Automatic Dataset Generation System to Support Android Sensitive Data Leakage Detection Systems

A case study for evaluating learners' behaviors from online cybersecurity training platform on digital forensics subject

Fool Your Enemies: Enable Cyber Deception and Moving Target Defense for Intrusion Detection in SDN

An Approach for Service Function Chain Orchestration in Combination with SDN-based Network

Leveraging Reinforcement Learning and Generative Adversarial Networks to Craft Mutants of Windows Malware against Black-box Malware Detectors

Detect repackaged Android applications by using representative graphs

Detect Android malware by using deep learning: Experiment and Evaluation

Cyber Threat Intelligence for Proactive Defense against Adversary in SDN-assisted IIoTs context

A Method of Mutating Windows Malwares using Reinforcement Learning with Functionality Preservation

Forensics analysis of FacePlay application to seek digital artifacts on data ownership and privacy

SDN-Based Cyber Deception Deployment for Proactive Defense Strategy Using Honey of Things and Cyber Threat Intelligence

uitXkernel: Android Kernel Forensic for Security Analysis Purposes

UIT-ADF: A System for Android Device Forensics

Gather Android Application Information on Google Play for Machine Learning Based Security Analysis

Direct experimental evidence for the adsorption of 4-tert-butylpyridine and 2,2′-bipyridine on TiO2 surface and their influence on dye-sensitized solar cells’ performance

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