EXPLAINABLE AI FOR PHISHING DETECTION IN MULTILINGUAL AND LOW-RESOURCE CONTEXTS: A HUMAN-CENTERED CYBERSECURITY APPROACH

dc.contributor.author	Abdukhalimov Usmonbek Eshberdievich
dc.date.accessioned	2026-01-08T20:31:52Z
dc.date.issued	2026-01-08
dc.description.abstract	Phishing attacks remain one of the most pervasive and effective forms of cybercrime worldwide. By exploiting human trust through deceptive emails, messages, and websites, attackers successfully steal sensitive information such as login credentials, financial data, and personal identities. Despite advances in technical defenses, phishing continues to evolve, becoming more sophisticated, personalized, and linguistically diverse.
dc.format	application/pdf
dc.identifier.uri	https://theconferencehub.com/index.php/tch/article/view/801
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/110018
dc.language.iso	eng
dc.publisher	The Conference Hub
dc.relation	https://theconferencehub.com/index.php/tch/article/view/801/822
dc.rights	https://creativecommons.org/licenses/by/4.0
dc.source	The Conference Hub; 2026: ICARHSE-USA JAN; 10-14
dc.subject	credentials, financial data, and personal identities, sophisticated, personalized, and linguistically diverse.
dc.title	EXPLAINABLE AI FOR PHISHING DETECTION IN MULTILINGUAL AND LOW-RESOURCE CONTEXTS: A HUMAN-CENTERED CYBERSECURITY APPROACH
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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