Sökning: "Bot Detection"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Bot Detection.

  1. 1. Advanced Hardened Registration Process for Mobile Crowd Sensing

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

    Författare :Ronghua Li; [2022]
    Nyckelord :Mobile Crowd Sensing; Sybil detection; Android; Native coding; Bluetooth Low Energy; Mobil Crowd Sensing; Sybil detektering; Android; Native kodning; Bluetooth Low Energy;

    Sammanfattning : Mobile Crowd Sensing (MCS) or Participatory Sensing (PS) are two emerging systems as smart mobile devices become ubiquitous. One of the advantages of such a sensing system is that almost anyone with a mobile device can become a moving "sensor". LÄS MER

  3. 2. Scraping bot detection using machine learning

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

    Författare :Hamta Dezfoli; Joseph Newman; [2022]
    Nyckelord :Artificial agents; Bot detection; Machine learning; Data analysis; HTTP requests; ReCaptcha; Artificiella agenter; Detektering av bottar; Maskininlärning; Dataanalys; HTTP förfrågningar; ReCaptcha;

    Sammanfattning : Illegitimate acquisition and use of data is a problematic issue faced by many organizations operating web servers on the internet today. Despite frameworks of rules to prevent ”scraping bots” from carrying out this action, they have developed advanced methods to continue taking data. LÄS MER

  4. 3. Social Media Bot Detection

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Adam Zoltan Kenyeres; [2021]
    Nyckelord :;

    Sammanfattning : Social media platforms have revolutionized how people interact with each other and how people gain information. However, social media platforms such as Twitter and Facebook quickly became the platform for public manipulation and spreading or amplifying political or ideological misinformation. LÄS MER

  5. 4. Language IndependentDetector for Auto GeneratedTweets

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap (DV)

    Författare :Saeideh Valipour; [2020]
    Nyckelord :Twitter; Machine Learning; Classification; Bot Detection; Social networks;

    Sammanfattning : The cross-disciplinary Nordic Tweet Stream (NTS) is a project aiming at creating a multilingual text corpus consisting of tweets published in the five Nordic countries. The NTS linguists are explicitly interested in tweets having a text formulated by a human where each tweet is a personal statement, not in Tweets generated by bots and other programs or apps since they might skew the results. LÄS MER

  7. 5. Fantastic bots and where to find them

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Agaton Svenaeus; [2020]
    Nyckelord :Twitter bots; Bots; Bot identification; Twitter;

    Sammanfattning : Research on bot detection on online social networks has received a considerable amount of attention in Swedish news media. Recently however, criticism of the research field of bot detection on onlinesocial networks has been presented, highlighting the need to investigate the research field to determine if information based on flawed research has been spread. LÄS MER