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Huy-Trung Nguyen

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Kennesaw State University

United States

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Grant: Close

Nghiên cứu xây dựng hệ thống tự động phát hiện, cảnh báo và ngăn chặn tấn công mạng nhằm vào các thiết bị IoT cỡ nhỏ sử dụng mạng lưới tác tử thông minh

Open Date: 2020-10-01

Close Date: 2022-10-01

Grant: Close

Nghiên cứu xây dựng thử nghiệm hệ thống hỗ trợ học tập dựa trên cách tiếp cận Metaverse

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Grant: Close

Nghiên cứu, ứng dụng thử nghiệm Blockchain trong quản lý văn bằng, chứng chỉ cơ quan nhà nước

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Articles (19)

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Collaborators (1)

Domenico Bianculli

Professor at University of Luxembourg

University of Luxembourg

GLOBAL

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ApplyKite TwinLearns as you apply

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Huy-Trung Nguyen

Research Interests

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Recent Grants

Articles (19)

A novel entropy Autoencoder-Synchronized Hashing Semi-supervised network for robust Android malware identification

Towards Universal Segmentation for Log Parsing

A Smart Rule-Generation Approach for Network Intrusion Prevention Systems

A Novel Network Attack Detection Platform Targeting the AMF Component in the 5G Network Infrastructure

LogMerge: improved log parsing based on two-step clustering combined with low-level token processing

PROPOSED COMPREHENSIVE EAVESDROPPING DETECTION SOLUTION IN MULTI-VLAN SWITCHED NETWORK BASED ON IPFIX FLOW

PROPOSED DATA ROAMING NETWORK SIMULATION ENVIRONMENT FOR 5G NETWORK

Web access as a service for CSA matter protocol: Bridging matter and the W3C Web of Things framework for smart home interoperability

A static method for detecting android malware based on directed API call

Routing Protocol against Flooding Attack Using Median Value and Fixed Threshold

Towards an efficient approach using graph-based evolutionary algorithm for IoT botnet detection

Research and development automatically generate detection rules for IDS based on machine learning technology

An Advanced Computing Approach for IoT-Botnet Detection in Industrial Internet of Things

An Advanced Computing Approach for IoT-Botnet Detection in Industrial Internet of Things

Towards effectively feature graph-based IoT botnet detection via reinforcement learning

A novel graph-based approach for IoT botnet detection

A survey of IoT malware and detection methods based on static features

Phát hiện mã độc IoT botnet dựa trên đồ thị PSI với mô hình Skip-gram

PSI-rooted subgraph: A novel feature for IoT botnet detection using classifier algorithms

Collaborators (1)

Domenico Bianculli

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