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A fully decentralized federated adversarial vision transformer with blockchain and secure aggregation for visual-based intrusion and malware forensics

Crossref DOI link: https://doi.org/10.1007/s41060-025-01011-7

Published Online: 2026-01-14

Published Print: 2026-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Belal, Mohamad Mulham

Saleti, Sumalatha

E, Elakkiya
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Text and Data Mining valid from 2026-01-14

Version of Record valid from 2026-01-14
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Article History

Received: 27 October 2025

Accepted: 22 December 2025

First Online: 14 January 2026

Declarations

:

: The authors declare no Conflict of interest.

: This research does not involve any studies with human participants or animals performed by any of the authors.

: All authors consent to the publication of this manuscript.

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