Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection

V. Herrera Semenets, Raudel Hernández-León, Lázaro Bustio-Martínez, J. van den Berg

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Telecommunications services have become a constant in people’s lives. This has inspired fraudsters to carry out malicious activities causing economic losses to people and companies. Early detection of signs that suggest the possible occurrence of malicious activity would allow analysts to act in time and avoid unintended consequences. Modeling the behavior of users could identify when a significant change takes place. Following this idea, an algorithm for online behavior change detection in telecommunication services is proposed in this paper. The experimental results show that the new algorithm can identify behavioral changes related to unforeseen events.
Original languageEnglish
Title of host publication Advances in Computational Intelligence 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II
EditorsObdulia Pichardo Laguna, Juan Martínez-Miranda, Bella Martínez Seis
Number of pages12
ISBN (Electronic)978-3-031-19496-2
Publication statusPublished - 2022
Event21st Mexican International Conference on Artificial Intelligence - Monterrey, Mexico
Duration: 24 Oct 202229 Oct 2022
Conference number: 21

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference21st Mexican International Conference on Artificial Intelligence
Abbreviated titleMICAI 2022
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Online data processing
  • Behavior changes
  • Anomaly detection
  • Concept drift
  • Cybersecurity
  • Multimodal data analysis


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