Service framework for dynamic multilingual CAPTCHA challenges: IN-CAPTCHA

Banday, M. Tariq; Sheikh, Shafiya Afzal

doi:10.1109/icaecc.2014.7002384

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The proposed CAPTCHA has been implemented and tested in English and Hindi languages and can be implemented in any other language. Furthermore, the CAPTCHA scheme was integrated and tested with a Multilingual CAPTCHA system [18], [19], [20], wherein the proposed CAPTCHA could create challenges in all the supported languages.…”

Section: Methodsmentioning

confidence: 99%

A Novel Animated CAPTCHA Technique based on Persistence of Vision

Sheikh¹,

Banday²

2022

IJACSA

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Image-based CAPTCHA challenges have been successfully used to distinguish between humans and bots for a long time. However, image-based CAPTCHA techniques are constantly broken by hackers, forcing web developers to implement more robust security features and new approaches in CAPTCHA images. Modern-day bots can use many techniques and technologies to break CAPTCHA images automatically. These techniques include OCR, Segmentation, erosion, threshold, flood fill, etc. This led to innovative CAPTCHA systems, including those based on drag and drop, image recognition, fingerprint, mathematical problems, etc. Animated image CAPTCHAs have also been designed to show moving characters and objects and require users to recognize the characters or objects in the animation. Unfortunately, these CAPTCHA systems have also been broken successfully. This research proposes a novel animated CAPTCHA technique based on the persistence of vision, which shows text characters in multiple layers in an animated image. The proposed CAPTCHA technique has been implemented in PHP using GD library functions and tested using various popular CAPTCHA breaking tools. Further, the proposed CAPTCHA challenge has also been tested against the frame separation based breaking technique. The security analysis and usability study have demonstrated user-friendliness, vast accessibility, and robustness.

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Section: Methodsmentioning

confidence: 99%

A Novel Animated CAPTCHA Technique based on Persistence of Vision

Sheikh¹,

Banday²

2022

IJACSA

Self Cite

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“…Lebih lanjut, tantangan CAPTCHA menjadi tidak aman karena dan mudah untuk menerobos teknik mutakhir CAPTCHA yang sudah ada [5]. Bagaimanapun teks CAPTCHA perlu diteliti lagi apakah masih dipecahkan oleh komputer atau tidak maka perlu dianalisis, diperbaiki, dan dikembangkan untuk menghindari gangguan otomatis.…”

Section: Pendahuluanunclassified

Analisis Robustness Teks Captcha Paypal HIP Menggunakan Template Matching

Humaira

Musri²,

Sarimuddin

et al. 2018

JAIC Polibatam

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CAPTCHA refer to Completely Automated Public Turing test to tell Computers and Humans Apart. CAPTCHA are used to ensure that the operators are human not robots. The basic idea of using CAPTCHA is segmentation and recognition. Random characters, graphic images, or CAPTCHA audio become possible solutions to improve security and resilience for protection systems. In this paper used CAPTCHA random characters. However the CAPTCHA text needs to be analyzed again whether it is still solved by the computer or not it needs to be analyzed, improved, and developed to avoid automatic interference. Data set of text CAPTCHA paypal or so-called paypal HIP with 20 pieces of training data to get the template as much as 36 images that is from the numbers 0-9 and the letter A-Z. This particular paypal HIP data is limited by not using numbers 0 and 1 with the letters O and Q because of the similarity between the data. The method used starts from pre-processing, segmentation, and classification. Pre-processing techniques used consist of removing noise by tresholding and using cleaning techniques. We use bounding box and padding for segmentation method. And then for classification used counting pixel, vertical projections, horizontal projections, dan template correlation. By using these methods will be known which method can recognize CAPTCHA text accurately so as to affect the robustness of the CAPTCHA text.

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