Adaptive CAPTCHA: A CRNN-Based Text CAPTCHA Solver with Adaptive Fusion Filter Networks
Text-based CAPTCHAs remain the most widely adopted security scheme, which is the first barrier to securing websites. Deep learning methods, especially Convolutional Neural Networks (CNNs), are the mainstream approach for text CAPTCHA recognition and are widely used in CAPTCHA vulnerability assessmen...
الحاوية / القاعدة: | Applied Sciences (Switzerland) |
---|---|
المؤلف الرئيسي: | 2-s2.0-85197265040 |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Multidisciplinary Digital Publishing Institute (MDPI)
2024
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197265040&doi=10.3390%2fapp14125016&partnerID=40&md5=51a319b6a1cfc2a7d7770fb69fbadf5f |
مواد مشابهة
-
FEGAN: A High-Performance Font Enhancement Network for Text CAPTCHA Preprocessing
بواسطة: Wan, وآخرون
منشور في: (2025) -
Variational Color Shift and Auto-Encoder Based on Large Separable Kernel Attention for Enhanced Text CAPTCHA Vulnerability Assessment
بواسطة: Wan X.; Johari J.; Ruslan F.A.
منشور في: (2024) -
Adaptive IDS Concept with PRBS Multi Inputs Multi Outputs (MIMO) and Matched Filtering Algorithm
بواسطة: 2-s2.0-85176570452
منشور في: (2023) -
Automated Receipt Scanning Using Convolutional Recurrent Neural Network (CRNN)
بواسطة: 2-s2.0-85219565154
منشور في: (2024) -
An Artificial Neural Network-Based Finite State Machine for Adaptive Scenario Selection in Serious Game
بواسطة: 2-s2.0-85171267066
منشور في: (2023)