Results 131 to 140 of about 3,253,884 (197)

AI in phishing detection: a bibliometric review. [PDF]

Front Artif Intell
Popescul D, Radu LD.
europepmc   +1 more source

Explainable few-shot learning with modern BERT for detecting emerging phishing attacks using XF PhishBERT. [PDF]

Sci Rep
Tawfik M, Tawfik M, Abu-Ein AA, Abdelhaliem AH, Al-Sharo YM, Fathi IS.   +5 more
europepmc   +1 more source

Phishing threat mitigation in E-commerce using a quantum-enhanced hybrid AI framework. [PDF]

Sci Rep
Gupta BB, Pan SH, Gaurav A, Arya V, Attar RW, Alhazmi AH, Alhomoud A, Chui KT.   +7 more
europepmc   +1 more source

Phishing detection on webpages in European non-English languages based on machine learning. [PDF]

Sci Rep
Komosny D.
europepmc   +1 more source

Cybersecurity as it relates to perfusion. [PDF]

J Extra Corpor Technol
Lung K.
europepmc   +1 more source

Real‑world analysis of Macular Oedema associated with Paclitaxel Formulations using the Japanese Adverse Drug Event Report database. [PDF]

PLoS One
Takeda K, Hirai T, Sugioka A, Okamura R, Nishimura A, Shibata N.   +5 more
europepmc   +1 more source

Cacography based Ransomware Email Phishing Attack Prevention using Language Pack Tuned Transformer Language Model. [PDF]

Sci Rep
Abiramasundari S, Ramaswamy V.
europepmc   +1 more source

A hybrid super learner ensemble for phishing detection on mobile devices. [PDF]

Sci Rep
Rao RS, Kondaiah C, Pais AR, Lee B.
europepmc   +1 more source

Development of Phishing Detection Modules: Study, Analysis, and Implementation

reservedQuesto documento descrive l'attività svolta da Leonardo Lago durante il suo stage interno presso l'Università degli Studi di Padova, della durata di circa trecentoventi ore iniziato il 6 Maggio 2024 e conclusosi il 28 Giugno 2024. L'attività è
LAGO, LEONARDO
core  

Editorial: Machine learning for cybersecurity. [PDF]

Front Artif Intell
Wickramasinghe Brahmana CS, Marino D, De Silva D, Manic M.   +3 more
europepmc   +1 more source