A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

Buczak, Anna L., Guven, Erhan·2016·IEEE Communications Surveys & Tutorials
DOI 10.1109/comst.2015.2494502

Cited by (1,003)

Items 301–400 of 1,003

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  9. Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions
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  76. Detecting Behavioral Change of IoT Devices Using Clustering-Based Network Traffic Modeling
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  77. DRaNN: A Deep Random Neural Network Model for Intrusion Detection in Industrial IoT
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  78. Generative Deep Learning for Internet of Things Network Traffic Generation
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  79. Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects
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  80. Machine Learning Techniques for Network Anomaly Detection: A Survey
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  81. Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection
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  82. A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System
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  84. An Intrusion Detection System Based on Convolutional Neural Network for Imbalanced Network Traffic
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  85. Towards asynchronous federated learning based threat detection: A DC-Adam approach
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  87. Applications of Machine Learning in Cyber Security
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  88. Adversarial deep learning against intrusion detection classifiers
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  89. Representation learning-based network intrusion detection system by capturing explicit and implicit feature interactions
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  90. Physical Layer Authentication and Security Design in the Machine Learning Era
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  92. A new perspective towards the development of robust data-driven intrusion detection for industrial control systems
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  95. Automatic Multi-task Learning System for Abnormal Network Traffic Detection
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  97. Anomaly‐based intrusion detection systems: The requirements, methods, measurements, and datasets
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  98. Machine Learning Algorithms for Network Intrusion Detection
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  100. Exploring user behavioral data for adaptive cybersecurity
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