Repository logo
  • English
  • Español
  • Log In
    Have you forgotten your password?
Universidad Tecnológica Indoamérica
Repository logo
  • Communities & Collections
  • Research Outputs
  • Projects
  • Researchers
  • Statistics
  • Investigación Indoamérica
  • English
  • Español
  • Log In
    Have you forgotten your password?
  1. Home
  2. CRIS
  3. Publications
  4. Anomaly detection with negative selection and graphs of user behavior profiles [Detección de anomalías con selección negativa y gráfos de perfiles de comportamiento del usuario]
 
Options

Anomaly detection with negative selection and graphs of user behavior profiles [Detección de anomalías con selección negativa y gráfos de perfiles de comportamiento del usuario]

Journal
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Date Issued
2018
Author(s)
Maldonado C.B.G.
Jadán Guerrero, Janio
Centro de investigación en Mecatrónica y Sistemas Interactivos
Type
Article
URL
https://cris.indoamerica.edu.ec/handle/123456789/9062
Abstract
This work proposes the application of a Negative Selection Algorithm inspired in Artificial Immune Systems and the use of Graphs. This approach allows to identify anomalous activities based on user's behavior, during the execution of tasks, as well as at the end of the user session. The main contributions of this work are: creation of a graph-based user profile for the detection and prediction of anomalies in execution tasks. In addition, the generation of anomalous behaviors for the detection of irregularities at the end of the user session. The article presents in detail the development and the acceptable result in the detection of fraudulent tasks, showing an optimum precision and a low percentage of false positives. © AISTI 2016.
Subjects
  • Anura; Dendrobatoidea...

Views
3
Acquisition Date
May 8, 2025
View Details
google-scholar
Downloads
Logo Universidad Tecnológica Indoamérica Hosting and Support by Logo Scimago

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback