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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 251–261 of 261 papers

TitleStatusHype
Data Mining model in the discovery of trends and patterns of intruder attacks on the data network as a public-sector innovation—0
Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System—0
On the (Statistical) Detection of Adversarial Examples—0
"Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law—0
Attribute Learning for Network Intrusion Detection—0
Sorting out typicality with the inverse moment matrix SOS polynomial—0
Learning Privately from Multiparty Data—0
Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data—0
Extreme bandits—0
A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm—0
Toward Supervised Anomaly Detection—0
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