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

Cited by (1,003)

Items 201–300 of 1,003

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5. SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection
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36. Adversarial machine learning for network intrusion detection: A comparative study
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40. Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks
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43. A New Method for Flow-Based Network Intrusion Detection Using the Inverse Potts Model
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45. Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security
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49. Threat detection and investigation with system-level provenance graphs: A survey
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50. Data Fusion-Based Machine Learning Architecture for Intrusion Detection
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51. Injection attack detection using machine learning for smart IoT applications
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52. Data-Driven Cyber Security in Perspective—Intelligent Traffic Analysis
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54. Botnet attack detection in Internet of Things devices over cloud environment via machine learning
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56. A Survey on the Development of Self-Organizing Maps for Unsupervised Intrusion Detection
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58. A survey on Intrusion Detection System (IDS) and Internal Intrusion Detection and protection system (IIDPS)
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60. An Intelligent Tree-Based Intrusion Detection Model for Cyber Security
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