Cybercriminal Behavior Model to Counteract Phishing in the Financial Ecosystem in Colombia


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

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.

CALL FOR PAPERS


Paper Submission Last Date
30 - November - 2022

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe