Multi-agent System for Safeguarding Children Online

Katrinna Macfarlane, Violeta Holmes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The internet has become integral part of our lives and it offers new ways to connect to each other. While this has many benefits, it also has a darker side.
Over recent years there has been a consistent stream of news articles about children being put at risk due to unsafe online communications. There has been a global drive to educate parents and children around the dangers and provide them with guidelines for safe practice. Yet still the reports that another child has gone missing after going to meet someone they had only met online persist.
In this paper we are presenting our work in designing and developing a prototype system that will provide a safer environment for children online. In order to combat such a complex problem, it is necessary to integrate various artificial intelligent technologies into an autonomous system. The system was implemented using Java Agent Development Environment (JADE), Protégé Ontology development and reasoning techniques, and natural language processing (NLP). We have devised a testing system to measure the effectiveness of the system in detecting potential risk to the child. Initial results of experiments are encouraging and demonstrate the system’s capability in preventing sensitive information, such as name, address and telephone number being transmitted as part of an on-going conversation. The system will be capable of identifying levels of threat in the context of a longer conversation and recognise the key factors, intention, location and time which contribute to meeting arrangements and proactively generating a warning.
Original languageEnglish
Title of host publicationProceedings of SAI Intelligent Systems Conference (IntelliSys) 2016
EditorsYaxin Bi, Supriya Kapoor, Rahul Bhatia
Place of PublicationCham
PublisherSpringer International Publishing AG
Pages228-242
Number of pages15
ISBN (Electronic)9783319569918
ISBN (Print)9783319569901
DOIs
Publication statusPublished - 23 Aug 2017
EventScience and Information Conferences Intelligent Systems Conference 2016 - London, United Kingdom
Duration: 21 Sep 201622 Sep 2016
http://saiconference.com/Conferences/IntelliSys2016 (Link to Conference Details)

Publication series

NameLecture Notes in Networks and Systems
PublisherSpringer International
Volume16
ISSN (Electronic)2367-3370

Conference

ConferenceScience and Information Conferences Intelligent Systems Conference 2016
Abbreviated titleIntelliSys 2016
CountryUnited Kingdom
CityLondon
Period21/09/1622/09/16
Internet address

Fingerprint

Multi agent systems
Telephone
Ontology
Internet
Communication
Testing
Processing
Experiments

Cite this

Macfarlane, K., & Holmes, V. (2017). Multi-agent System for Safeguarding Children Online. In Y. Bi, S. Kapoor, & R. Bhatia (Eds.), Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (pp. 228-242). (Lecture Notes in Networks and Systems; Vol. 16). Cham: Springer International Publishing AG. https://doi.org/10.1007/978-3-319-56991-8_18
Macfarlane, Katrinna ; Holmes, Violeta. / Multi-agent System for Safeguarding Children Online. Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. editor / Yaxin Bi ; Supriya Kapoor ; Rahul Bhatia. Cham : Springer International Publishing AG, 2017. pp. 228-242 (Lecture Notes in Networks and Systems).
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title = "Multi-agent System for Safeguarding Children Online",
abstract = "The internet has become integral part of our lives and it offers new ways to connect to each other. While this has many benefits, it also has a darker side. Over recent years there has been a consistent stream of news articles about children being put at risk due to unsafe online communications. There has been a global drive to educate parents and children around the dangers and provide them with guidelines for safe practice. Yet still the reports that another child has gone missing after going to meet someone they had only met online persist. In this paper we are presenting our work in designing and developing a prototype system that will provide a safer environment for children online. In order to combat such a complex problem, it is necessary to integrate various artificial intelligent technologies into an autonomous system. The system was implemented using Java Agent Development Environment (JADE), Prot{\'e}g{\'e} Ontology development and reasoning techniques, and natural language processing (NLP). We have devised a testing system to measure the effectiveness of the system in detecting potential risk to the child. Initial results of experiments are encouraging and demonstrate the system’s capability in preventing sensitive information, such as name, address and telephone number being transmitted as part of an on-going conversation. The system will be capable of identifying levels of threat in the context of a longer conversation and recognise the key factors, intention, location and time which contribute to meeting arrangements and proactively generating a warning.",
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Macfarlane, K & Holmes, V 2017, Multi-agent System for Safeguarding Children Online. in Y Bi, S Kapoor & R Bhatia (eds), Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Lecture Notes in Networks and Systems, vol. 16, Springer International Publishing AG, Cham, pp. 228-242, Science and Information Conferences Intelligent Systems Conference 2016, London, United Kingdom, 21/09/16. https://doi.org/10.1007/978-3-319-56991-8_18

Multi-agent System for Safeguarding Children Online. / Macfarlane, Katrinna; Holmes, Violeta.

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. ed. / Yaxin Bi; Supriya Kapoor; Rahul Bhatia. Cham : Springer International Publishing AG, 2017. p. 228-242 (Lecture Notes in Networks and Systems; Vol. 16).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Multi-agent System for Safeguarding Children Online

AU - Macfarlane, Katrinna

AU - Holmes, Violeta

N1 - Accepted date taken from ePrints. Full text embargoed on ePrints as Springer disallows archiving of book chapters. SH.

PY - 2017/8/23

Y1 - 2017/8/23

N2 - The internet has become integral part of our lives and it offers new ways to connect to each other. While this has many benefits, it also has a darker side. Over recent years there has been a consistent stream of news articles about children being put at risk due to unsafe online communications. There has been a global drive to educate parents and children around the dangers and provide them with guidelines for safe practice. Yet still the reports that another child has gone missing after going to meet someone they had only met online persist. In this paper we are presenting our work in designing and developing a prototype system that will provide a safer environment for children online. In order to combat such a complex problem, it is necessary to integrate various artificial intelligent technologies into an autonomous system. The system was implemented using Java Agent Development Environment (JADE), Protégé Ontology development and reasoning techniques, and natural language processing (NLP). We have devised a testing system to measure the effectiveness of the system in detecting potential risk to the child. Initial results of experiments are encouraging and demonstrate the system’s capability in preventing sensitive information, such as name, address and telephone number being transmitted as part of an on-going conversation. The system will be capable of identifying levels of threat in the context of a longer conversation and recognise the key factors, intention, location and time which contribute to meeting arrangements and proactively generating a warning.

AB - The internet has become integral part of our lives and it offers new ways to connect to each other. While this has many benefits, it also has a darker side. Over recent years there has been a consistent stream of news articles about children being put at risk due to unsafe online communications. There has been a global drive to educate parents and children around the dangers and provide them with guidelines for safe practice. Yet still the reports that another child has gone missing after going to meet someone they had only met online persist. In this paper we are presenting our work in designing and developing a prototype system that will provide a safer environment for children online. In order to combat such a complex problem, it is necessary to integrate various artificial intelligent technologies into an autonomous system. The system was implemented using Java Agent Development Environment (JADE), Protégé Ontology development and reasoning techniques, and natural language processing (NLP). We have devised a testing system to measure the effectiveness of the system in detecting potential risk to the child. Initial results of experiments are encouraging and demonstrate the system’s capability in preventing sensitive information, such as name, address and telephone number being transmitted as part of an on-going conversation. The system will be capable of identifying levels of threat in the context of a longer conversation and recognise the key factors, intention, location and time which contribute to meeting arrangements and proactively generating a warning.

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KW - Reactive

KW - Intelligent agents

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KW - Protégé

KW - Natural language processing

KW - Artificial intelligence

KW - Autonomous systems

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DO - 10.1007/978-3-319-56991-8_18

M3 - Conference contribution

SN - 9783319569901

T3 - Lecture Notes in Networks and Systems

SP - 228

EP - 242

BT - Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016

A2 - Bi, Yaxin

A2 - Kapoor, Supriya

A2 - Bhatia, Rahul

PB - Springer International Publishing AG

CY - Cham

ER -

Macfarlane K, Holmes V. Multi-agent System for Safeguarding Children Online. In Bi Y, Kapoor S, Bhatia R, editors, Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. Cham: Springer International Publishing AG. 2017. p. 228-242. (Lecture Notes in Networks and Systems). https://doi.org/10.1007/978-3-319-56991-8_18