Location-Based CAPTCHA: Enhancing Bot Detection Using Live Geolocation Autofill

This paper introduces a novel CAPTCHA system that leverages live geolocation to autofill addresses and detect bots. Current CAPTCHA systems, though effective, can be bypassed by sophisticated bots. Our method capitalizes on the fact that bots cannot simulate real-time location data. We analyze the feasibility, security, and user experience of integrating geolocation into CAPTCHA systems, offering a new method of bot detection. Initial results indicate a reduction in false positives and improved security with minimal user inconvenience.

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Publication Details

Published
2024-12-22
DOI
https://doi.org/10.1109/cicn63059.2024.10847567
Citations
1
Primary Topic
User Authentication and Security Systems
Type
article
Field-Weighted Citation Impact
0.78
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article

Location-Based CAPTCHA: Enhancing Bot Detection Using Live Geolocation Autofill

Anurag Pathak, Sandeep Rathor
1 citations
User Authentication and Security Systems
0.78
article

Location-Based CAPTCHA: Enhancing Bot Detection Using Live Geolocation Autofill

Anurag Pathak, Sandeep Rathor
article en
1 citations

Abstract

This paper introduces a novel CAPTCHA system that leverages live geolocation to autofill addresses and detect bots. Current CAPTCHA systems, though effective, can be bypassed by sophisticated bots. Our method capitalizes on the fact that bots cannot simulate real-time location data. We analyze the feasibility, security, and user experience of integrating geolocation into CAPTCHA systems, offering a new method of bot detection. Initial results indicate a reduction in false positives and improved security with minimal user inconvenience.

GLA University (IN)
Climate action
Openalex Percentile: Top 17%
User Authentication and Security Systems
0.78
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