Sökning: "Detektering av Spam"

Hittade 2 uppsatser innehållade orden Detektering av Spam.

  1. 1. Fake Mass-Produced Advertisements Detection on Global Online Adult Service Websites

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

    Författare :Ernest Pokropek; [2023]
    Nyckelord :Machine learning; Spam detection; Mass-produced spam; Global adult online services; Maskininlärning; Detektering av Spam; Massproducerad Spam; Globala Webbplatser som Erbjuder Eskorttjänster;

    Sammanfattning : A significant amount of sex trafficking victims are being advertised on online adult services, which are currently being flooded with spam. Investigators rely on online adult services to track cases of sex trafficking; however, the ever-increasing volume of spam poses a mounting challenge, making their task progressively more difficult. LÄS MER

  3. 2. Detection of Vulnerability Scanning Attacks using Machine Learning : Application Layer Intrusion Detection and Prevention by Combining Machine Learning and AppSensor Concepts

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

    Författare :Pojan Shahrivar; [2022]
    Nyckelord :Vulnerability Scanning; Random Forest; Web application security; Next-Gen Web application Firewall; Machine learning; Dynamic application security testing; Intrusion detection prevention;

    Sammanfattning : It is well-established that machine learning techniques have been used with great success in other domains and has been leveraged to deal with sources of evolving abuse, such as spam. This study aims to determine whether machine learning techniques can be used to create a model that detects vulnerability scanning attacks using proprietary real-world data collected from tCell, a web application firewall. LÄS MER