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Enhanced CAPTCHA Mechanism for Securing Online Social Networks and Web Pages Using Extended Finite Automata

Authors:
M. Karthikeyan, A. R. Arunachalam

Addresses:
Department of Computer Science, Dr M.G.R. Educational and Research Institute, Maduravoyal, Chennai, Tamil Nadu, India. Department of Computer Science, Dr M.G.R. Educational and Research Institute, Adayalampattu, Chennai, Tamil Nadu, India.

Abstract:

The internet has become essential to our daily lives, fundamentally changing the way we communicate and access information. However, this reliance has also introduced new challenges, such as automated behaviours that violate terms of service. These include activities like auto-sharing content, spamming friend requests, and submitting bulk forms. Such actions are primarily driven by bots—automated programs that imitate human behaviour online. The misuse of bots poses risks to website security, user experience, and resources. To combat these threats, CAPTCHA systems were developed to distinguish between human users and automated programs. CAPTCHA, which stands for "Completely Automated Public Turing test to tell Computers and Humans Apart," involves challenge-response tests that are difficult for bots to solve but manageable for humans. Traditional CAPTCHA methods, often relying on distorted text or images, are increasingly challenged as bots become more sophisticated at recognizing and bypassing these tests. Additionally, the growing number of online services has created more opportunities for bots to exploit platforms, resulting in increased spam and decreased user trust. To address these evolving threats, this paper introduces an innovative CAPTCHA system based on Extended Finite Automata (XFA), which creates dynamic, adaptive challenges that are more difficult for bots to overcome while remaining user-friendly for humans. 

Keywords: CAPTCHA and BOTS; Extended Finite Automata; Security and Effectiveness; Computers and Internet; Online Resources; Security Protocols; Evolving Threats; Machine Learning; Social Networks.

Received on: 20/09/2024, Revised on: 24/11/2024, Accepted on: 28/12/2024, Published on: 03/06/2025

DOI: 10.69888/FTSCL.2025.000423

FMDB Transactions on Sustainable Computer Letters, 2025 Vol. 3 No. 2, Pages: 76-84

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