Intrusion Detection

Intrusion Detection is the process of dynamically monitoring events occurring in a computer system or network, analyzing them for signs of possible incidents and often interdicting the unauthorized access. This is typically accomplished by automatically collecting information from a variety of systems and network sources, and then analyzing the information for possible security problems.

Source: Machine Learning Techniques for Intrusion Detection

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 781–790 of 800 papers

Title	Date	Tasks	Status
Efficient classification using parallel and scalable compressed model and Its application on intrusion detection	May 14, 2014	AttributeClassification	—Unverified
A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm	May 3, 2014	ClassificationGeneral Classification	—Unverified
A New Clustering Approach for Anomaly Intrusion Detection	Apr 10, 2014	ClusteringIntrusion Detection	—Unverified
Relevant Feature Selection Model Using Data Mining for Intrusion Detection System	Mar 30, 2014	feature selectionIntrusion Detection	—Unverified
Continuous Features Discretization for Anomaly Intrusion Detectors Generation	Mar 7, 2014	Intrusion Detection	—Unverified
Security Evaluation of Support Vector Machines in Adversarial Environments	Jan 30, 2014	Intrusion DetectionMalware Detection	—Unverified
Toward Supervised Anomaly Detection	Jan 23, 2014	Active LearningAnomaly Detection	—Unverified
An Identification System Using Eye Detection Based On Wavelets And Neural Networks	Jan 20, 2014	Intrusion Detection	—Unverified
Intrusion Detection using Continuous Time Bayesian Networks	Jan 16, 2014	Anomaly DetectionIntrusion Detection	—Unverified
A DDoS-Aware IDS Model Based on Danger Theory and Mobile Agents	Dec 31, 2013	Intrusion Detection	—Unverified

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All datasets CICIDS2017 CIC-DDoS CIC-DoS UNSW-NB15

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	Accuracy (%)	98.13	—	Unverified
2	K-Nearest Neighbors	Accuracy (%)	98.07	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSTREAM-PCA	AUC	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSTREAM-IB	AUC	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSTREAM-AE	AUC	0.9	—	Unverified