MISAAC: Instant messaging tool for ciberbullying detection

María de Guadalupe Cota Ortiz; Pérez Castro Perla Janeth; Valdéz Lucero Christian Jonathan; Soto Barrera Juan Pablo; Pedro Flores Perez

MISAAC: Instant messaging tool for ciberbullying detection

María de Guadalupe Cota Ortiz, Pérez Castro Perla Janeth, Valdéz Lucero Christian Jonathan, Soto Barrera Juan Pablo, Pedro Flores Perez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The efforts of education authorities to find ways to identify problems related to bullying, still have not considered ciberbullying, and have not taken the necessary measures to maintain proper control of the problem through computer applications. In this paper are proposed a security model based on agents, which can analyze the messages exchanged between children (ages 9 to 13) through chats that are used in classrooms, and emit warnings about the threats, which may be considered to address such problems. The information generated can be used for the detection of cyberbullying and offer psychological support to those that may be formed as aggressors, preventing that this behavior becomes a disease that could be avoided at an early age.

Original language	Spanish (Mexico)
Title of host publication	MISAAC: Instant messaging tool for ciberbullying detection
Editors	Hamid R. Arabnia David de la Fuente Elena B. Kozerenko Peter M. LaMonica Raymond A. Liuzzi Jose A. Olivas Ashu M. G. Solo Todd Waskiewicz
Place of Publication	Estados Unidos de Norteamerica
Pages	pp. 1049–1052
Number of pages	4
Volume	2
ISBN (Electronic)	1-60132-218-6 , 1-60132-219-4
State	Published - 15 Jul 2012

Bibliographical note

Castro, P., Lucero, C., Cota, G., Soto, J. P. & Flores, P., 2012, Proceedings of the 2012 International Conference on Artificial Intelligence, ICAI 2012. p. 1049-1052 4 p. (Proceedings of the 2012 International Conference on Artificial Intelligence, ICAI 2012; vol. 2).

Access to Document

https://www.scopus.com/record/display.uri?eid=2-s2.0-84875181688&origin=inward&txGid=09c7504a175cc61a1350d31e4cdee655

Cite this

Cota Ortiz, M. D. G., Perla Janeth, P. C., Christian Jonathan, V. L., Juan Pablo, S. B., & Flores Perez, P. (2012). MISAAC: Instant messaging tool for ciberbullying detection. In H. R. A. D. D. L. F. E. B. K. P. M. L. R. A. L. J. A. O. A. M. G. S. T. W. (Ed.), MISAAC: Instant messaging tool for ciberbullying detection (Vol. 2, pp. pp. 1049–1052). https://www.scopus.com/record/display.uri?eid=2-s2.0-84875181688&origin=inward&txGid=09c7504a175cc61a1350d31e4cdee655

Cota Ortiz, María de Guadalupe ; Perla Janeth, Pérez Castro ; Christian Jonathan, Valdéz Lucero et al. / MISAAC: Instant messaging tool for ciberbullying detection. MISAAC: Instant messaging tool for ciberbullying detection. editor / Hamid R. Arabnia David de la Fuente Elena B. Kozerenko Peter M. LaMonica Raymond A. Liuzzi Jose A. Olivas Ashu M. G. Solo Todd Waskiewicz. Vol. 2 Estados Unidos de Norteamerica, 2012. pp. pp. 1049–1052

@inproceedings{393e94fc8c484b40864eac8b77ef4a4f,

title = "MISAAC: Instant messaging tool for ciberbullying detection",

abstract = "The efforts of education authorities to find ways to identify problems related to bullying, still have not considered ciberbullying, and have not taken the necessary measures to maintain proper control of the problem through computer applications. In this paper are proposed a security model based on agents, which can analyze the messages exchanged between children (ages 9 to 13) through chats that are used in classrooms, and emit warnings about the threats, which may be considered to address such problems. The information generated can be used for the detection of cyberbullying and offer psychological support to those that may be formed as aggressors, preventing that this behavior becomes a disease that could be avoided at an early age.",

keywords = "Pattern recognition, Agent, Security, Ciberbullying",

author = "{Cota Ortiz}, {Mar{\'i}a de Guadalupe} and {Perla Janeth}, {P{\'e}rez Castro} and {Christian Jonathan}, {Vald{\'e}z Lucero} and {Juan Pablo}, {Soto Barrera} and {Flores Perez}, Pedro",

note = "Castro, P., Lucero, C., Cota, G., Soto, J. P. & Flores, P., 2012, Proceedings of the 2012 International Conference on Artificial Intelligence, ICAI 2012. p. 1049-1052 4 p. (Proceedings of the 2012 International Conference on Artificial Intelligence, ICAI 2012; vol. 2).",

year = "2012",

month = jul,

day = "15",

language = "Espa{\~n}ol (M{\'e}xico)",

isbn = "1-60132-217-8",

volume = "2",

pages = "pp. 1049–1052",

editor = "{Hamid R. Arabnia David de la Fuente Elena B. Kozerenko Peter M. LaMonica Raymond A. Liuzzi Jose A. Olivas Ashu M. G. Solo Todd Waskiewicz}",

booktitle = "MISAAC: Instant messaging tool for ciberbullying detection",

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Cota Ortiz, MDG, Perla Janeth, PC, Christian Jonathan, VL, Juan Pablo, SB & Flores Perez, P 2012, MISAAC: Instant messaging tool for ciberbullying detection. in HRADDLFEBKPMLRALJAOAMGSTW (ed.), MISAAC: Instant messaging tool for ciberbullying detection. vol. 2, Estados Unidos de Norteamerica, pp. pp. 1049–1052. <https://www.scopus.com/record/display.uri?eid=2-s2.0-84875181688&origin=inward&txGid=09c7504a175cc61a1350d31e4cdee655>

MISAAC: Instant messaging tool for ciberbullying detection. / Cota Ortiz, María de Guadalupe; Perla Janeth, Pérez Castro; Christian Jonathan, Valdéz Lucero et al.
MISAAC: Instant messaging tool for ciberbullying detection. ed. / Hamid R. Arabnia David de la Fuente Elena B. Kozerenko Peter M. LaMonica Raymond A. Liuzzi Jose A. Olivas Ashu M. G. Solo Todd Waskiewicz. Vol. 2 Estados Unidos de Norteamerica, 2012. p. pp. 1049–1052.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The efforts of education authorities to find ways to identify problems related to bullying, still have not considered ciberbullying, and have not taken the necessary measures to maintain proper control of the problem through computer applications. In this paper are proposed a security model based on agents, which can analyze the messages exchanged between children (ages 9 to 13) through chats that are used in classrooms, and emit warnings about the threats, which may be considered to address such problems. The information generated can be used for the detection of cyberbullying and offer psychological support to those that may be formed as aggressors, preventing that this behavior becomes a disease that could be avoided at an early age.

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