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1. Comparison of Machine Learning Algorithms for Anomaly Detection in Train’s Real-Time Ethernet using an Intrusion Detection System
Kandidat-uppsats,Sammanfattning : Background: The train communication network is vulnerable to intrusion assaultsbecause of the openness of the ethernet communication protocol. Therefore, an intru-sion detection system must be incorporated into the train communication network. LÄS MER
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