Generate random Arabic characters and numbers for CAPTCHA

Other Title(s)

توليد حروف عربية و أرقام عشوائية للكابتشا

Joint Authors

al-Alusi, Nida Fulayyih Hasan
Sulayman, Maryam Taha

Source

Iraqi Journal of Science

Issue

Vol. 58, Issue 4C (31 Dec. 2017), pp.2427-2437, 11 p.

Publisher

University of Baghdad College of Science

Publication Date

2017-12-31

Country of Publication

Iraq

No. of Pages

11

Main Subjects

Information Technology and Computer Science

Abstract EN

Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a program where its goal is to check the user identity if it is a human or web program by creating tests that is easy to human but difficult to computer programs.

In this paper, a mixed Arabic CAPTCHA schema is proposed to generate Arabic characters and numbers using generators that combines more than one Linear Feedback Shift Registers(LFSRs) via a non-linear function to produce the binary sequence.

This random binary sequence is translated to be Arabic characters and numbers to be used for Arabic CAPTCHA, to ensure the randomness, each generator output is analyzed via randomness analysis using National Institute of Standards and Technology (NIST) statistical test suite.

American Psychological Association (APA)

Sulayman, Maryam Taha& al-Alusi, Nida Fulayyih Hasan. 2017. Generate random Arabic characters and numbers for CAPTCHA. Iraqi Journal of Science،Vol. 58, no. 4C, pp.2427-2437.
https://search.emarefa.net/detail/BIM-796596

Modern Language Association (MLA)

Sulayman, Maryam Taha& al-Alusi, Nida Fulayyih Hasan. Generate random Arabic characters and numbers for CAPTCHA. Iraqi Journal of Science Vol. 58, no. 4C (2017), pp.2427-2437.
https://search.emarefa.net/detail/BIM-796596

American Medical Association (AMA)

Sulayman, Maryam Taha& al-Alusi, Nida Fulayyih Hasan. Generate random Arabic characters and numbers for CAPTCHA. Iraqi Journal of Science. 2017. Vol. 58, no. 4C, pp.2427-2437.
https://search.emarefa.net/detail/BIM-796596

Data Type

Journal Articles

Language

English

Notes

Text in English ; abstracts in English and Arabic.

Record ID

BIM-796596