Abstract
CAPTCHAs are a safe bet because they are used by so many other websites. They minimize risk from websites simply by integrating them. However, repeating that CAPTCHA creates a bad user experience and spends millions of hours of human brain cycles to resolve recurrent CAPTCHAs is meaningless. Furthermore, because CAPTCHA providers target users with advertising, some consumers have expressed worries regarding privacy promises. We also ran into problems in nations where CAPTCHA services were occasionally unavailable. As a result of productivity, blocking, and privacy concerns, numerous academics have pondered building new CAPTCHA architecture over the years. Rather than seeking to replace CAPTCHA with a single alternative unilaterally, we developed an adaptive blind CAPTCHA architecture that improves both individual and organizational privacy and efficiency while still permitting interoperability with existing CAPTCHAs. Based on blockchain and blind token technology, this solution protects users’ privacy and sensitive data while simultaneously delivering high usability, quick deployment, and protecting online services from automated harmful bots.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
von Ahn, L., Blum, M., Langford, J.: CAPTCHA: using hard AI problems for security (2003)
Dinh, N., Ogiela, L.: Human-artificial intelligence approaches for secure analysis in CAPTCHA codes. EURASIP J. Info. Security 2022, 8 (2022). https://doi.org/10.1186/s13635-022-00134-9
End Cloudflare CAPTCHA. https://blog.cloudflare.com/end-cloudflare-captcha/
Jyothsna, V., Rama Prasad, V.V.: FCAAIS: Anomaly-based network intrusion detection through feature correlation analysis and association impact scale. ICT Express 2(3), 103−116 (2016)
Araujo, A.M., de Neira, A.B., Nogueira: Autonomous machine learning for early bot detection in the Internet of Things. Digital Commun. Netw. 9(6), 2023
M. Swan. Blockchain: Blueprint for a new economy. O’Reilly Media Inc., 2015
Patricia Merkle tree. https://ethereum.org/vi/developers/docs/data-structures-and-encoding/patricia-merkle-trie/
FIDO UAF overview. https://fidoalliance.org/specs/fido-uaf-v1.2-ps-20201020/fido-uaf-overview-v1.2-ps-20201020.html
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Dinh, N., Tien, H.T., Le, VT., Duong, HT., Ogiela, L., Hoang, V.T. (2024). Cognitive Blind Blockchain CAPTCHA Architecture. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-031-57916-5_24
Download citation
DOI: https://doi.org/10.1007/978-3-031-57916-5_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-57915-8
Online ISBN: 978-3-031-57916-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)