Sökning: "intrusion system"

Visar resultat 11 - 15 av 173 uppsatser innehållade orden intrusion system.

  1. 11. Detecting IT System Intrusions Using Hidden Markov Models

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Agaton Domberg; Axel Tardell; [2023]
    Nyckelord :;

    Sammanfattning : In today's day and age, the use and implementation of cyber security software isof the utmost importance. Aiming to dive into the basic algorithms behind these softwareprograms, this paper highlights one of the different approaches that keep us safe online. LÄS MER

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

    Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Författare :Alexander Frid; [2023]
    Nyckelord :Machine Learning; Random Forest; Federated Learning; Differential Privacy; Maskininlärning; Random Forest; Federated Learning; Differential Privacy;

    Sammanfattning : 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. LÄS MER

  4. 13. Collecting Cyber Traces : Adding Forensic Evidence In Threat Models

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Dingli Mao; [2023]
    Nyckelord :Threat Modeling; Security and Risk Analysis; Forensic Evidence; Domain Specific Language; hotmodellering; Säkerhet och riskanalys; Kriminaltekniska bevis; Domänspecifikt språk;

    Sammanfattning : There is a rising concern about cyber security as both industry and individuals depend increasingly on the Internet. Threat modeling and attack simulations are the main approaches for the security analyst to examine the universal reliability of Information Technology infrastructures. LÄS MER

  5. 14. Probability Based Path Planning of Unmanned Ground Vehicles for Autonomous Surveillance : Through World Decomposition and Modelling of Target Distribution

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Per Liljeström; [2022]
    Nyckelord :Probability based path planning; Unmanned ground vehicles; UGV; Autonomous surveillance; Cell decomposition; Spatial partitioning; Target distribution modeling; Decay function; Last-seen function; Stochastic processes; Markov chain; Markov process; Markov planner;

    Sammanfattning : The interest in autonomous surveillance has increased due to advances in autonomous systems and sensor theory. This thesis is a preliminary study of the cooperation between UGVs and stationary sensors when monitoring a dedicated area. The primary focus is the path planning of a UGV for different initial intrusion alarms. Cell decomposition, i. LÄS MER

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

    Magister-uppsats, Linköpings universitet/Databas och informationsteknik

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

    Sammanfattning : 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. LÄS MER