An active learning framework using deep Q-network for zero-day attack detection

References

Page 1

	Year	Citations
Human-level control through deep reinforcement learning Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Nature Artificial IntelligenceEngineeringDeep Reinforcement LearningReinforcement Learning (Educational Psychology)Computer Science	2015	28.8K
Reinforcement Learning: A Survey Leslie Pack Kaelbling, Michael L. Littman, Andrew Moore Journal of Artificial Intelligence Research Artificial IntelligenceCognitive ScienceEngineeringMachine LearningReinforcement Learning (Computer Engineering)	1996	8.7K
In-vehicle network intrusion detection using deep convolutional neural network Hyun Min Song, Jiyoung Woo, Huy Kang Kim Vehicular Communications Convolutional Neural NetworkEngineeringMachine LearningIntrusion Detection SystemAutomotive Security	2019	526
Anomaly-based intrusion detection system for IoT networks through deep learning model Tanzila Saba, Amjad Rehman, Tariq Sadad, Computers & Electrical Engineering Iot Data AnalyticsAnomaly DetectionMachine LearningEngineeringIntrusion Detection System	2022	382
Machine learning methods for cyber security intrusion detection: Datasets and comparative study Fatih Ertam, Abdulkadir Şengür Computer Networks EngineeringMachine LearningData ScienceData MiningPattern Recognition	2021	362
Application of deep reinforcement learning to intrusion detection for supervised problems Manuel López‐Martín, Belén Carro, Antonio Sánchez-Esguevillas Expert Systems with Applications Artificial IntelligenceAnomaly DetectionMachine LearningData ScienceDeep Reinforcement	2019	326
An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection Ren‐Hung Hwang, Min-Chun Peng, Chien‐Wei Huang, IEEE Access Convolutional Neural NetworkInternet Traffic AnalysisAnomaly DetectionMachine LearningEngineering	2020	267
Analysis of KDD-Cup’99, NSL-KDD and UNSW-NB15 Datasets using Deep Learning in IoT Sarika Choudhary, Nishtha Kesswani Procedia Computer Science EngineeringMachine LearningUnsw-nb15 DatasetsIot SecurityIot System	2020	254
Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial–Temporal Features P. Rajesh Kanna, P. Santhi Knowledge-Based Systems Anomaly DetectionMachine LearningData ScienceEngineeringPattern Recognition	2021	195
A One-Dimensional Convolutional Neural Network (1D-CNN) Based Deep Learning System for Network Intrusion Detection Emad Ul Haq Qazi, Abdulrazaq Almorjan, Tanveer Zia Applied Sciences Convolutional Neural NetworkAnomaly DetectionMachine LearningData ScienceEngineering	2022	132

Page 1