Detection of phishing attacks with machine learning techniques in cognitive security architecture

Ivan Ortiz Garces, Maria Fernada Cazares, Roberto Omar Andrade

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The number of phishing attacks has increased in Latin America, exceeding the operational skills of cybersecurity analysts. The cognitive security application proposes the use of bigdata, machine learning, and data analytics to improve response times in attack detection. This paper presents an investigation about the analysis of anomalous behavior related with phishing web attacks and how machine learning techniques can be an option to face the problem. This analysis is made with the use of an contaminated data sets, and python tools for developing machine learning for detect phishing attacks through of the analysis of URLs to determinate if are good or bad URLs in base of specific characteristics of the URLs, with the goal of provide realtime information for take proactive decisions that minimize the impact of an attack.

Original languageEnglish
Title of host publicationProceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages366-370
Number of pages5
ISBN (Electronic)9781728155845
DOIs
StatePublished - Dec 2019
Event6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019 - Las Vegas, United States
Duration: 5 Dec 20197 Dec 2019

Publication series

NameProceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019

Conference

Conference6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019
Country/TerritoryUnited States
CityLas Vegas
Period5/12/197/12/19

Keywords

  • Artificial intelligence
  • Artificial neural networks
  • Cybersecurity
  • Machine learning
  • Phishing

Fingerprint

Dive into the research topics of 'Detection of phishing attacks with machine learning techniques in cognitive security architecture'. Together they form a unique fingerprint.

Cite this