Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach

Explainability of Network Intrusion Detection Using Transformers: A Packet-Level Approach

Network Intrusion Detection Systems (NIDS) are critical in ensuring the security of connected computer systems by actively detecting and preventing unauthorized activities and malicious attacks. Machine learning based NIDS models leverage algorithms that learn from historical network traffic data to...

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Bibliographic Details
Main Authors: Pahavalan Rajkumardheivanayahi, Ryan Berry, Nicholas U. Costagliola, Lance Fiondella, Nathaniel D. Bastian, Gokhan Kul
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Network intrusion detection
natural language processing
explainability
transformers
Online Access:https://ieeexplore.ieee.org/document/10819385/
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