An ensemble learning approach for detecting phishing URLs in encrypted TLS traffic
Crossref DOI link: https://doi.org/10.1007/s11235-024-01229-z
Published Online: 2024-10-16
Published Print: 2024-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kondaiah, Cheemaladinne
Pais, Alwyn Roshan
Rao, Routhu Srinivasa
Text and Data Mining valid from 2024-10-16
Version of Record valid from 2024-10-16
Article History
Accepted: 1 October 2024
First Online: 16 October 2024
Declarations
:
: The authors declare they have no Conflict of interest.