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

doi:10.1007/978-3-031-19496-2_24

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

Cyber Security

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

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 language	English
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
Editors	Obdulia Pichardo Laguna, Juan Martínez-Miranda, Bella Martínez Seis
Publisher	Springer
Pages	316-327
Number of pages	12
ISBN (Electronic)	978-3-031-19496-2
DOIs	https://doi.org/10.1007/978-3-031-19496-2_24
Publication status	Published - 2022
Event	21st Mexican International Conference on Artificial Intelligence - Monterrey, Mexico Duration: 24 Oct 2022 → 29 Oct 2022 Conference number: 21 http://www.micai.org/2022/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Number	13613
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st Mexican International Conference on Artificial Intelligence
Abbreviated title	MICAI 2022
Country/Territory	Mexico
City	Monterrey
Period	24/10/22 → 29/10/22
Internet address	http://www.micai.org/2022/

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
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.

Keywords

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

Access to Document

10.1007/978-3-031-19496-2_24

978-3-031-19496-2_24Final published version, 1.16 MB

Cite this

Herrera Semenets, V., Hernández-León, R., Bustio-Martínez, L., & van den Berg, J. (2022). Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection. In O. Pichardo Laguna, J. Martínez-Miranda, & B. Martínez Seis (Eds.), Advances in Computational Intelligence 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II (pp. 316-327). (Lecture Notes in Computer Science; No. 13613). Springer. https://doi.org/10.1007/978-3-031-19496-2_24

Herrera Semenets, V. ; Hernández-León, Raudel ; Bustio-Martínez, Lázaro et al. / Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection. Advances in Computational Intelligence 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II. editor / Obdulia Pichardo Laguna ; Juan Martínez-Miranda ; Bella Martínez Seis. Springer, 2022. pp. 316-327 (Lecture Notes in Computer Science; 13613).

@inproceedings{61ebeb56a107436f93d0fb3eb2d54418,

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

abstract = "Telecommunications services have become a constant in people{\textquoteright}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.",

keywords = "Online data processing, Behavior changes, Anomaly detection, Concept drift, Cybersecurity, Multimodal data analysis",

author = "{Herrera Semenets}, V. and Raudel Hern{\'a}ndez-Le{\'o}n and L{\'a}zaro Bustio-Mart{\'i}nez and {van den Berg}, J.",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care 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.; 21st Mexican International Conference on Artificial Intelligence, MICAI 2022 ; Conference date: 24-10-2022 Through 29-10-2022",

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doi = "10.1007/978-3-031-19496-2_24",

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series = "Lecture Notes in Computer Science",

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number = "13613",

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editor = "{Pichardo Laguna}, Obdulia and Juan Mart{\'i}nez-Miranda and {Mart{\'i}nez Seis}, Bella",

booktitle = "Advances in Computational Intelligence 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II",

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}

Herrera Semenets, V, Hernández-León, R, Bustio-Martínez, L & van den Berg, J 2022, Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection. in O Pichardo Laguna, J Martínez-Miranda & B Martínez Seis (eds), Advances in Computational Intelligence 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II. Lecture Notes in Computer Science, no. 13613, Springer, pp. 316-327, 21st Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, 24/10/22. https://doi.org/10.1007/978-3-031-19496-2_24

Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection. / Herrera Semenets, V.; Hernández-León, Raudel; Bustio-Martínez, Lázaro et al.
Advances in Computational Intelligence 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II. ed. / Obdulia Pichardo Laguna; Juan Martínez-Miranda; Bella Martínez Seis. Springer, 2022. p. 316-327 (Lecture Notes in Computer Science; No. 13613).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - van den Berg, J.

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AB - 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.

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KW - Anomaly detection

KW - Concept drift

KW - Cybersecurity

KW - Multimodal data analysis

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BT - Advances in Computational Intelligence 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II

A2 - Pichardo Laguna, Obdulia

A2 - Martínez-Miranda, Juan

A2 - Martínez Seis, Bella

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ER -

Herrera Semenets V, Hernández-León R, Bustio-Martínez L, van den Berg J. Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection. In Pichardo Laguna O, Martínez-Miranda J, Martínez Seis B, editors, Advances in Computational Intelligence 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Monterrey, Mexico, October 24–29, 2022, Proceedings, Part II. Springer. 2022. p. 316-327. (Lecture Notes in Computer Science; 13613). doi: 10.1007/978-3-031-19496-2_24

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

Abstract

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Keywords

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