Multi-algorithm approach for arabic CAPTCHA generation.

Cybersecurity utilizes Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHAs) to distinguish malware from people. This paper proposes an Arabic-character CAPTCHA creation approach to improve security and inclusivity. Differential evolution and genetic algorithms optimize CAPTCHAs of various complexity. The technique builds a recursive population of alternative solutions using DEAP (Distributed Evolutionary Algorithms in Python) to increase CAPTCHA similarity to the intended text. Arabic letters enhance a character set, making computerized solvers harder and supporting Arabic-speaking users. The approach delivers robust and diversified CAPTCHAs, according to tests. A multi-algorithmic approach to multilingual CAPTCHA usability and security appears promising. [ABSTRACT FROM AUTHOR]