Detection of advanced web bots by combining web logs with mouse behavioural biometrics
Web bots vary in sophistication based on their purpose, ranging from simple automated
scripts to advanced web bots that have a browser fingerprint, support the main browser …
scripts to advanced web bots that have a browser fingerprint, support the main browser …
Continuous user authentication using mouse dynamics, machine learning, and minecraft
Mouse dynamics has grown in popularity as a novel, irreproducible behavioral biometric.
Datasets which contain general, unrestricted mouse movements from users are sparse in …
Datasets which contain general, unrestricted mouse movements from users are sparse in …
Exploring visual representations of computer mouse movements for bot detection using deep learning approaches
Nowadays, bots can be seen everywhere on the Internet and are responsible for a large
percentage of website traffic. The problem of bot detection has increasingly gained attention …
percentage of website traffic. The problem of bot detection has increasingly gained attention …
ReMouse Dataset: On the Efficacy of Measuring the Similarity of Human-Generated Trajectories for the Detection of Session-Replay Bots
S Sadeghpour, N Vlajic - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
Session-replay bots are believed to be the latest and most sophisticated generation of web
bots, and they are also very difficult to defend against. Combating session-replay bots is …
bots, and they are also very difficult to defend against. Combating session-replay bots is …
Continuous authentication using mouse movements, machine learning, and Minecraft
Mouse dynamics has grown in popularity as a novel irreproducible behavioral biometric.
Datasets which contain general unrestricted mouse movements from users are sparse in the …
Datasets which contain general unrestricted mouse movements from users are sparse in the …
Performance evaluation of lightweight network-based bot detection using mouse movements
Confronted with the challenge of malicious bot abuse disrupting daily life, bot detection has
become a crucial field of research. Among the various methods proposed, a behavior-driven …
become a crucial field of research. Among the various methods proposed, a behavior-driven …
Aps: A proxemic framework for social media interactions modeling and analysis
In this paper, we introduce a novel way to model and analyze social media interactions by
leveraging the proxemics theory. Proxemics is the science that studies the effect of space …
leveraging the proxemics theory. Proxemics is the science that studies the effect of space …
Human or AI? Using Digital Behavior to Verify Essay Authorship
D Wilson, P Burnett, JS Valacich, J Jenkins - 2023 - aisel.aisnet.org
Large language models (LLMs) such as OpenAI's GPT-4 have transformed natural language
processing with their ability to understand context and generate human-like text. This has …
processing with their ability to understand context and generate human-like text. This has …
Mouse dynamics based bot detection using sequence learning
The abuse of web bots poses a great threat to daily life. There are lots of methods proposed
to detect web bots. However, these web detection methods focus on specific application …
to detect web bots. However, these web detection methods focus on specific application …
Detecting of Robotic Imitation of Human on-the-Website Activity with Advanced Vector Analysis and Fractional Derivatives
IP Malashin, VS Tynchenko, AP Gantimurov… - IEEE …, 2024 - ieeexplore.ieee.org
This paper introduces a novel approach for the detection of automated entities in online
environments through the analysis of mouse dynamics. Leveraging fractional derivatives …
environments through the analysis of mouse dynamics. Leveraging fractional derivatives …