Essays about: "INTRUSION DETECTION MACHINE LEARNING"

Showing result 1 - 5 of 39 essays containing the words INTRUSION DETECTION MACHINE LEARNING.

  1. 1. Unsupervised Anomaly Detection and Explainability for Ladok Logs

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Mimmi Edholm; [2023]
    Keywords : machine learing; anomaly detection; ml;

    Abstract : Anomaly detection is the process of finding outliers in data. This report will explore the use of unsupervised machine learning for anomaly detection as well as the importance of explaining the decision making of the model. READ MORE

  3. 2. Observability in Machine Learning based Intrusion Detection Systems for RPL-based IoT

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Malin Strand; [2023]
    Keywords : ;

    Abstract : As IoT devices become more and more present in our daily lives, security in IoT networks has become a major concern. A promising approach for detecting attacks is the use of machine learning based Intrusion Detection Systems (IDSs). The attack studied in this thesis is the blackhole attack, an attack causing parts of the network to disconnect. READ MORE

  4. 3. Differentially Private Random Forests for Network Intrusion Detection in a Federated Learning Setting

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Alexander Frid; [2023]
    Keywords : Machine Learning; Random Forest; Federated Learning; Differential Privacy; Maskininlärning; Random Forest; Federated Learning; Differential Privacy;

    Abstract : För varje dag som går möter stora industrier en ökad mängd intrång i sina IT-system. De flesta befintliga verktyg som använder sig utav maskininlärning är starkt beroende av stora mängder data, vilket innebär risker under dataöverföringen. READ MORE

  5. 4. Implementing and evaluating variations of the Blackhole attack on RPL

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Adam Pettersson; [2022]
    Keywords : ;

    Abstract : The IPv6 Routing Protocol for Low-power and Lossy Networks (RPL) is the most used routing protocol for resource constrained Internet-of-Things (IoT) networks. With the massive increase in number of Internet-connected IoT devices and the fact that they are becoming more common in safety-critical environments such as in health-care and in the industry, security in these networks are of a big concern. READ MORE

  6. 5. Anomalous Behavior Detection in Aircraft based Automatic Dependent Surveillance–Broadcast (ADS-B) system using Deep Graph Convolution and Generative model (GA-GAN)

    University essay from Linköpings universitet/Databas och informationsteknik

    Author : Jayesh Kenaudekar; [2022]
    Keywords : Intrusion detection aircraft aviation security adsb protocol AI deep learning machine learning graph generative model surveillance broadcast;

    Abstract : The Automatic Dependent Surveillance-Broadcast (ADS-B) is a key component of the Next Generation Air Transportation System (Next Gen) that manages the increasingly congested airspace and operation. From Jan 2020, the U.S. Federal Aviation Administration (FAA) mandated the use of (ADS-B) as a key component of Next Gen project. READ MORE