Variational Color Shift and Auto-Encoder Based on Large Separable Kernel Attention for Enhanced Text CAPTCHA Vulnerability Assessment
Text CAPTCHAs are crucial security measures deployed on global websites to deter unauthorized intrusions. The presence of anti-attack features incorporated into text CAPTCHAs limits the effectiveness of evaluating them, despite CAPTCHA recognition being an effective method for assessing their securi...
Published in: | Information (Switzerland) |
---|---|
Main Author: | Wan X.; Johari J.; Ruslan F.A. |
Format: | Article |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210226832&doi=10.3390%2finfo15110717&partnerID=40&md5=1ec87566df59f5ce35e9ac60aa8561cd |
Similar Items
-
FEGAN: A High-Performance Font Enhancement Network for Text CAPTCHA Preprocessing
by: Wan, et al.
Published: (2025) -
Adaptive CAPTCHA: A CRNN-Based Text CAPTCHA Solver with Adaptive Fusion Filter Networks
by: 2-s2.0-85197265040
Published: (2024) -
A New Attention Mechanism for Semi-Guided Annotation of Very Large-Scale Pavement Defect Labelling in Malaysia Road Images
by: Maruzuki M.I.F.; Osman M.K.; Setumin S.; Ibrahim A.
Published: (2024) -
Seasonal changes and spatial variation in water quality of a large young tropical reservoir and its downstream river
by: 2-s2.0-85027355154
Published: (2017) -
Feasibility of text visualization in text steganalysis
by: Ab. Rauf R.H.; Jamal N.
Published: (2014)