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 91–100 of 800 papers

Title	Date	Tasks	Status	Score
Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection	Jun 7, 2024	Intrusion Detection	CodeCode Available	5
Intrusion Detection Using Mouse Dynamics	Oct 10, 2018	Intrusion Detection	CodeCode Available	5
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security	Oct 8, 2018	BenchmarkingBIG-bench Machine Learning	CodeCode Available	5
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data	Sep 10, 2017	Binary ClassificationGeneral Classification	CodeCode Available	5
Evaluating the Performance of Machine Learning-Based Classification Models for IoT Intrusion Detection	Oct 2, 2024	Intrusion Detection	CodeCode Available	5
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection	Sep 27, 2024	Attention Score PredictionFeature Engineering	CodeCode Available	5
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems	Feb 16, 2025	Intrusion DetectionNetwork Intrusion Detection	CodeCode Available	5
Efficient Federated Intrusion Detection in 5G ecosystem using optimized BERT-based model	Sep 28, 2024	Federated LearningIntrusion Detection	CodeCode Available	5
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection	Jul 27, 2020	Intrusion DetectionNetwork Intrusion Detection	CodeCode Available	5
Detecting message modification attacks on the CAN bus with Temporal Convolutional Networks	Jun 16, 2021	Intrusion Detection	CodeCode Available	5

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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