Detecting Network Anomalies Using AI on Simple Network Management Protocol
Explore the use of Artificial Intelligence on SNMP data for detecting network anomalies like attacks, traffic patterns, and usage times. Learn about network behavior analysis for security and pattern identification.
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Presentation Transcript
Detecting Network Behaviours using Artificial Intelligence on Simple Network Management Protocol Supervisor : Dr K. Thabotharan H.M Dhanushka Dharmasena 2015/CSC/019
Network Behaviours Network behavior analysis is network monitoring that ensures the security and identify network patterns. Anomalies like attacks, Network traffic, predict usage time patterns.
Current Research Exploiting SNMP-MBI Data to detect Network Anomalies using Machine Learning Techniques https://arxiv.org/ftp/arxiv/papers/1809/1809.02611.pdf Network Anomaly Detection: Methods, Systems and Tools https://ieeexplore.ieee.org/abstract/document/6524462 Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms https://www.sciencedirect.com/science/article/pii/S1319157817304287 Network Behavior Analysis Based on a Computer Network Model https://www.researchgate.net/publication/221602143_Network_Behavior_Analysis_Base d_on_a_Computer_Network_Model
Methodology SNMP MIB(Management Information Base) data used to monitor and manage network devices. SNMP offers powerful statistical information about what is happening in networking devices In this work we are planning to collect and analyze those data using AI techniques as a novel approach to detect network anomalies like attacks, network traffic, predict usage time patterns.
