Bot Detection Using Mouse Movements

Researching bot attacks and creating possible ways to combat them is a new direction of research in the information security. Bot detection can become an important part of trusted interaction technology, as the relevance of such attacks is constantly increasing. Bots automate processes, simplify int...

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Bibliographic Details
Main Authors: Afanaseva, N. S., Lozhnikov, P. S.
Format: Conference Proceeding
Language:English
Subjects:
bot
bot detector
Chatbots
Detectors
Information security
malicious bot
Mice
mouse dynamics datasets
mouse movement
Organizations
Stability analysis
Task analysis
trusted interactions
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Description
Summary:Researching bot attacks and creating possible ways to combat them is a new direction of research in the information security. Bot detection can become an important part of trusted interaction technology, as the relevance of such attacks is constantly increasing. Bots automate processes, simplify interaction with various services and help the user in solving various tasks. However, among the many useful bots, there are also bad bots that negatively impact users and organizations.This article discusses the advantages of detecting bots using mouse dynamics. An analysis of existing methods for identifying bots is carried out. Publicly available datasets that can be used to identify bots through mouse cursor movement patterns are reviewed.
ISSN:2644-2760
DOI:10.1109/Dynamics60586.2023.10349640