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C3-Sex: A Conversational Agent to Detect Online Sex Offenders

Faculty of Computer Engineering, Escuela Colombiana de Ingeniería Julio Garavito, AK.45 No.205-59, Bogotá 111166, Colombia
School of Engineering, Science and Technology, Universidad del Rosario, Carrera 6 No. 12 C-16, Bogotá 111711, Colombia
Faculty of Computer Science, Campus de Espinardo, University of Murcia, 30100 Murcia, Spain
Author to whom correspondence should be addressed.
Electronics 2020, 9(11), 1779;
Received: 8 August 2020 / Revised: 1 October 2020 / Accepted: 9 October 2020 / Published: 27 October 2020
(This article belongs to the Special Issue Advanced Cybersecurity Services Design)
Prevention of cybercrime is one of the missions of Law Enforcement Agencies (LEA) aiming to protect and guarantee sovereignty in the cyberspace. In this regard, online sex crimes are among the principal ones to prevent, especially those where a child is abused. The paper at hand proposes C3-Sex, a smart chatbot that uses Natural Language Processing (NLP) to interact with suspects in order to profile their interest regarding online child sexual abuse. This solution is based on our Artificial Conversational Entity (ACE) that connects to different online chat services to start a conversation. The ACE is designed using generative and rule-based models in charge of generating the posts and replies that constitute the conversation from the chatbot side. The proposed solution also includes a module to analyze the conversations performed by the chatbot and calculate a set of 25 features that describes the suspect’s behavior. After 50 days of experiments, the chatbot generated a dataset with 7199 profiling vectors with the features associated to each suspect. Afterward, we applied an unsupervised method to describe the results that differentiate three groups, which we categorize as indifferent, interested, and pervert. Exhaustive analysis is conducted to validate the applicability and advantages of our solution. View Full-Text
Keywords: chatbot; online child sexual abuse; criminal profiling; natural language processing; law enforcement agencies chatbot; online child sexual abuse; criminal profiling; natural language processing; law enforcement agencies
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MDPI and ACS Style

Rodríguez, J.I.; Durán, S.R.; Díaz-López, D.; Pastor-Galindo, J.; Mármol, F.G. C3-Sex: A Conversational Agent to Detect Online Sex Offenders. Electronics 2020, 9, 1779.

AMA Style

Rodríguez JI, Durán SR, Díaz-López D, Pastor-Galindo J, Mármol FG. C3-Sex: A Conversational Agent to Detect Online Sex Offenders. Electronics. 2020; 9(11):1779.

Chicago/Turabian Style

Rodríguez, John Ibañez, Santiago Rocha Durán, Daniel Díaz-López, Javier Pastor-Galindo, and Félix Gómez Mármol. 2020. "C3-Sex: A Conversational Agent to Detect Online Sex Offenders" Electronics 9, no. 11: 1779.

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