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Network Intrusion Detection

Network intrusion detection is the task of monitoring network traffic to and from all devices on a network in order to detect computer attacks.

Papers

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Showing 121–130 of 261 papers

TitleStatusHype
Feature Selection for Network Intrusion Detection—0
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems—0
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks—0
Data Mining model in the discovery of trends and patterns of intruder attacks on the data network as a public-sector innovation—0
Flow Exporter Impact on Intelligent Intrusion Detection Systems—0
"Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law—0
Cybersecurity Anomaly Detection in Adversarial Environments—0
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review—0
A Deep Belief Network Based Machine Learning System for Risky Host Detection—0
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection—0
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