Network Security and Intrusion Detection

Field	Computer Science
Subfield	Computer Networks and Communications
Domain	Physical Sciences
OpenAlex	T10400

Smeal faculty

• Nathaniel D. Bastian - score 10.0
• Lina Wang - score 1.0

Papers

• A sequential deep learning framework for a robust and resilient network intrusion detection system (2024) - cites 58
• XG-NID: Dual-modality network intrusion detection using a heterogeneous graph neural network and large language model (2025) - cites 54
• Transfer learning for raw network traffic detection (2022) - cites 50
• Payload-Byte: A Tool for Extracting and Labeling Packet Capture Files of Modern Network Intrusion Detection Datasets (2022) - cites 50
• Towards Real-Time Network Intrusion Detection With Image-Based Sequential Packets Representation (2024) - cites 45
• Generating realistic cyber data for training and evaluating machine learning classifiers for network intrusion detection systems (2022) - cites 42
• GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection (2025) - cites 40
• SeNet-I: An Approach for Detecting Network Intrusions Through Serialized Network Traffic Images (2023) - cites 35
• Machine learning raw network traffic detection (2021) - cites 32
• FedNIDS: A Federated Learning Framework for Packet-Based Network Intrusion Detection System (2024) - cites 26
• Fast Anomaly Detection based on Data Stream in Network Intrusion Detection System (2021) - cites 5