Results 121 to 130 of about 7,019 (217)

A Survey of Website Phishing Detection Techniques

, 2018
This article surveys the literature on website phishing detection. Web Phishing lures the user to interact with the fake website. The main objective of this attack is to steal the sensitive information from the user.
, Zinal Shukla, Kirtirajsinh Zala, Riddhi
core  

An Intelligent Phishing Detection Scheme Using Machine Learning

In today’s era, the world is moving toward automation, in which objects connected to Internet can take independent decisions. In such an environment, machine learning which is an integral part of artificial intelligence, is used widely to design ...
Samdani, Y., Sama, L., Mishra, S., Kumar, N., Makkar, A.   +4 more
core   +1 more source

An entropy-guided hybrid framework for real-time phishing detection in digital communication systems. [PDF]

Sci Rep
Rawat R, Rawat H, Rawat A, Rajavat A.
europepmc   +1 more source

Automatic Feature Extraction for Phishing Email Detection

, 2019
Each year, billions are lost in damages from phishing emails, and human researchers put countless hours researching new discovery techniques and finding the flaws in the old ones.
Crane, Devin R. 1988-
core  

Hybrid MLOps framework for automated lifecycle management of adaptive phishing detection models. [PDF]

Sci Rep
Reda A, Taie SA, Shaheen ME.
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

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

Towards Reliable and Practical Phishing Detection

As the prevalence of phishing attacks continues to rise, there is an increasing demand for more robust detection technologies. With recent advances in AI, we discuss how to construct a reliable and practical phishing detection system using language ...
Cho, Hyowon, Seo, Minjoon
core  

A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach. [PDF]

PeerJ Comput Sci
Meda S, Srinivas VS, Rao KCB, Ramesh R, Yamarthi NR.   +4 more
europepmc   +1 more source

Enhancing phishing detection with dynamic optimization and character-level deep learning in cloud environments. [PDF]

PeerJ Comput Sci
Ravula V, Ramaiah M.
europepmc   +1 more source