The design and evaluation of novel ananimated CAPTCHA schemes based on humans' natural vision capabilities | [VFAST Transactions on Software Engineering • 2023]

Author(s):

1. Rafaqat Hussain Arain: Institute of Computer Science,Shah Abdul Latif University,Khairpur, Sindh, Paskitan,

2. Riaz Ahmed Shaikh: Institute of Computer Science,Shah Abdul Latif University,Khairpur, Sindh, Paskitan,

3. Safdar Ali Shah: Institute of Computer Science,Shah Abdul Latif University,Khairpur, Sindh, Paskitan,

4. Sajjad Ali Shah: Institute of Computer Science,Shah Abdul Latif University,Khairpur, Sindh, Paskitan,

5. Saima Rafique: Government Girls Degree College,Pir Jo Goth, Sindh,Pakistan

Abstract:

CAPTCHAs are ubiquitously found on the web these days. It is most commonly used security mechanism against bots. Numerous design variants of static text-based CAPTCHAs were proposed and implemented on the internet over the years. However due to advancements in machine learning and image processing techniques they were proved vulnerable against automated attacks. In this research a new and robust animated CAPTCHA scheme is presented which is based on human's natural vision capabilities. The newly designed CAPTCHAs are user friendly for humans but extremely hard for bots. The security and usability is kept in mind while designing these CAPTCHAs. Various types of characters, patterns and filters are used to protect them against automated attacks. Overall, 20 types of animated CAPTCHAs are designed in this work. Further in this research, a group of participants have evaluated the usability of newly designed CAPTCHAs and solved with an average success rate of 76.85%. The analysis has proved that the proposed scheme is very much usable for humans and extremely difficult for bots.

Page(s): 196-214

DOI: DOI not available

Published: Journal: VFAST Transactions on Software Engineering, Volume: 11, Issue: 1, Year: 2023

Keywords:

Usability , Image Processing , Internet Security , Bots , CAPTCHAs

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