Improvement the schemes and models of detecting network traffic anomalies on computer systems
Yusupov Sabirjan Yusupdjanovich, Gulomov Sherzod Rajaboevich
Abstract
This paper proposes an approach to the classification of network anomalies and provides a description of the relationship of anomalies classified due to the occurrence and nature of changes in network traffic. A scheme for detecting network anomalies and abuses based on network traffic indicators also models for identifying and detecting network anomalies are presented.
Topics & Concepts
Computer scienceTraffic generation modelTraffic classificationData miningScheme (mathematics)Network traffic simulationNetwork traffic controlArtificial intelligenceComputer networkMathematicsQuality of serviceMathematical analysisNetwork packetNetwork Security and Intrusion DetectionAdvanced Data Processing TechniquesSoftware System Performance and Reliability