Sökning: "Spam detection"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Spam detection.

  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

  4. 3. Anomaly Detection on Gas Turbine Time-series’ Data Using Deep LSTM-Autoencoder

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Marzieh Farahani; [2021]
    Nyckelord :;

    Sammanfattning : Anomaly detection with the aim of identifying outliers plays a very important role in various applications (e.g., online spam, manufacturing, finance etc.). LÄS MER

  5. 4. Iterativa, gradientbaserade adversiella attacker på bildklassifierande neurala nätverk

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Axel Strömberg; Toomas Liiv; [2019]
    Nyckelord :;

    Sammanfattning : Djupa neurala nätverk (DNN) används i ett brett spektrum av uppgifter som röstigenkänning, bildklassificering och spamidentifiering. Det har emellertid visat sig att nätverken kan felklassifiera indata när en liten, noga utvald störning läggs till den. LÄS MER

  7. 5. Data Stream Queries to Apache SPARK

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Michelle Brundin; [2016]
    Nyckelord :;

    Sammanfattning : Many fields have a need to process and analyze data streams in real-time. In industrial applications the data can come from big sensor networks, where the processing of the data streams can be used for performance monitoring and fault detection in real time. LÄS MER