Authors :
Ortiz Ruiz, E
Volume/Issue :
Volume 7 - 2022, Issue 2 - February
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3p1KSV3
DOI :
https://doi.org/10.5281/zenodo.6176128
Abstract :
Nowadays, the anomalies found in the
prevention of fraud are aimed at detection tools that exist
in themarket of each one of the financial entities; many of
them are focused onalgorithms predisposed for their use
and implementation. However, some of them do not have
an effective learning in the face of the needs of the
phishing phenomenon as a crucial element in the face of
the challenges of these sites in Colombia, this is a reason
that does not allow their parameterization and and then
prosecute criminal behaviour. The adaptive algorithm
model allows detecting and investigating phishing from a
tactical orientation that allows identifying these
characteristic patterns.
Keywords :
Machine Learning, model, social engineering, artificial intelligence,cyber-research, OSINT.
Nowadays, the anomalies found in the
prevention of fraud are aimed at detection tools that exist
in themarket of each one of the financial entities; many of
them are focused onalgorithms predisposed for their use
and implementation. However, some of them do not have
an effective learning in the face of the needs of the
phishing phenomenon as a crucial element in the face of
the challenges of these sites in Colombia, this is a reason
that does not allow their parameterization and and then
prosecute criminal behaviour. The adaptive algorithm
model allows detecting and investigating phishing from a
tactical orientation that allows identifying these
characteristic patterns.
Keywords :
Machine Learning, model, social engineering, artificial intelligence,cyber-research, OSINT.
