Abstract
In the era of Internet of Thing (IoT) which a lot of devices are connected to the internet, children are spending more hours online interacting in cyber space that increase exposure to cyber security including pedophile activity. Increase of time spend online could increase the potential of online sexual grooming behaviours of child molesters. Since that the behaviour are not easily identified prior to the abuse, this study gathers and collect information about child sexual abuse by pedophile and propose a comprehensive decision support system to educate children base on knowledge-driven method about online grooming by molesters. An interactive system is built to provide knowledge to children regarding child sexual abuse and pedophile in terms of definition and each characteristics of it. The main purpose of the system is compiling database about child sexual abuse and pedophiles in order to determine the level of child’s exposure to pedophile in term of five attributes which is selection of victims, gaining access, grooming, trust and approach.
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Noor Afiza, M.R. et al. (2017). Knowledge Driven Interface to Determine Degree of Exposure of Young Adult to Pedophile Online. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2017. Lecture Notes in Computer Science(), vol 10645. Springer, Cham. https://doi.org/10.1007/978-3-319-70010-6_67
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DOI: https://doi.org/10.1007/978-3-319-70010-6_67
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