Protocol-Agnostic and Packet-Based Intrusion Detection Using a Multi-Layer Deep-Learning Architecture at the Network Edge

Protocol-Agnostic and Packet-Based Intrusion Detection Using a Multi-Layer Deep-Learning Architecture at the Network Edge

Intrusion Detection (ID) faces multiple challenges, including the diversity of intrusion types and the risk of false positives and negatives. In an edge computing context, resource constraints further complicate the process, particularly during the training phase, which is computationally intensive....

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Bibliographic Details
Main Authors: Rodolphe Picot, Felipe Gohring de Magalhaes, Ahmad Shahnejat Bushehri, Maroua Ben Atti, Gabriela Nicolescu, Alejandro Quintero
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Intrusion detection
edge computing
neural network
preprocessing
deep-learning
Online Access:https://ieeexplore.ieee.org/document/10942348/
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https://ieeexplore.ieee.org/document/10942348/

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