The aim of this research is to provide techniques that increase children’s security on online chat platforms. The research project divides the online grooming detection problem into several subproblems, including author profiling, predatory conversation detection, predatory identification, and data limitations issues. The present article presents a literature review of available data sets and grooming detection techniques.
BI Norwegian Business School, Norwegian University of Science and Technology
Technological University Dublin
Technological University Dublin
Technological University Dublin
Zurich Institute of Forensic Medicine
Adhiyamaan College of Engineering
Australian Institute of Criminology
Auckland University of Technology
Humboldt Universitat zu Berlin
Nalla Malla Engineering College, Galgotias University, Vellore Institute of Technology
Uskudar University Medical Faculty, Istanbul, Turkey
University of Edinburgh and George Mason University
ITU/UNESCO Broadband Commission for Sustainable Development
University of New Haven / Digital Forensic Research Workshop
Institute of Electrical and Electronics Engineers (IEEE) and Mississippi State University
Department of Psychology, University of Gothenburg