Sökning: "Security Logs"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden Security Logs.

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

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Mimmi Edholm; [2023]
    Nyckelord :machine learing; anomaly detection; ml;

    Sammanfattning : 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. LÄS MER

  3. 2. Detecting Fraud in Affiliate Marketing: Comparative Analysis of Supervised Machine Learning Algorithms

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Oskar Ahlqvist; [2023]
    Nyckelord :Fraud detection; Machine learning; Random Forest; support vector machine; Logistic Regression; Classification models; Affiliate marketing;

    Sammanfattning : Affiliate marketing has become a rapidly growing part of the digital marketing sector. However, fraud in affiliate marketing raises a serious threat to the trust and financial stability of the involved parties. LÄS MER

  4. 3. Adopting Observability-Driven Development for Cloud-Native Applications : Designing End-to-end Observability Pipeline using Open-source Software

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

    Författare :Chujie Ni; [2023]
    Nyckelord :Observability-driven Development; End-to-end observability; Open-source pipeline; OpenTelemetry; Kubernetes; Observerbarhetsdriven utveckling; observerbarhet från slut till slut; pipeline med öppen källkod; OpenTelemetry; Kubernetes;

    Sammanfattning : As cloud-native applications become more distributed, complex, and unpredictable with the adoption of microservices and other new architectural components, traditional monitoring solutions are inadequate in providing end-to-end visibility and proactively identifying deviations from expected behaviour before they become disruptive to services. In response to these challenges, observability-driven development (ODD) is proposed as a new methodology that leverages tools and practices to observe the state and detect the behaviour of systems. LÄS MER

  5. 4. Secure log-management for an Apache Kafka-based data-streaming service

    Uppsats för yrkesexamina på grundnivå, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Hjalmar Kull; Mirza Hujic; [2023]
    Nyckelord :Apache Kafka;

    Sammanfattning : This thesis aims to investigate the prospect of using Apache Kafka to manage data streams based on secrecy/classification level and separate these data streams in order to meet the requirement set by the secrecy/classification levels. Basalt AB has the responsibility of managing classified data for private and state actors, including the Swedish Armed Forces and other organizations. LÄS MER

  7. 5. Log Anomaly Detection of Structured Logs in a Distributed Cloud System

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :David Nilsson; Albin Olsson; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : As computer systems grow larger and more complex, the task of maintaining the system and finding potential security threats or other malfunctions become increasingly hard. Traditionally, this has had to be done by manually examining the logs. LÄS MER