Search for dissertations about: "INTRUSION DETECTION MACHINE LEARNING ALGORITHMS"
Found 3 swedish dissertations containing the words INTRUSION DETECTION MACHINE LEARNING ALGORITHMS.
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1. Adaptive Real-time Anomaly Detection for Safeguarding Critical Networks
Abstract : Critical networks require defence in depth incorporating many different security technologies including intrusion detection. One important intrusion detection approach is called anomaly detection where normal (good) behaviour of users of the protected system is modelled, often using machine learning or data mining techniques. READ MORE
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2. Anomaly Detection and its Adaptation : Studies on Cyber-Physical Systems
Abstract : Cyber-Physical Systems (CPS) are complex systems where physical operations are supported and coordinated by Information and Communication Technology (ICT).From the point of view of security, ICT technology offers new opportunities to increase vigilance and real-time responsiveness to physical security faults. READ MORE
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3. From Domain Adaptation to Federated Learning
Abstract : Data-driven methods have been gaining increasing attention; however, along with the benefits they offer, they also present several challenges, particularly concerning data availability, accessibility, and heterogeneity, the three factors that have shaped the development of this thesis. Data availability is the primary consideration when employing data-driven methodologies. READ MORE