Modeling Privacy Preservation in Smart Connected Toys by Petri-Nets
- Benjamin Yankson, Faculty of Business and IT, University of Ontario Institute of Technology, Oshawa, Ontario, Canada
- Farkhund Iqbal, College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates
- Zhihui Lu, School of Computer Science, Fudan University, Shanghai, China
- Xiaoling Wang, School of Computer Science and Software Engineering, East China Normal University, Shanghai, China
- Patrick Hung, Faculty of Business and IT, University of Ontario Institute of Technology, Oshawa, Ontario, Canada
AbstractChildren data privacy must be considered as integral and factored into the system design of Smart Connected Toy (SCT). The challenge is that SCTs are capable to gather significant amount volunteered and non-volunteered data, which lacks privacy considerations. It is imperative to adopt a modeling technique that autonomously preserves privacy and secure children’s data in SCT transactions. This paper surveys the current data flow modeling techniques, which most of them do not have elements to address the privacy of Personal Identifiable Information (PII). This paper shows a Petri-Net simulation which provides privacy assurance in order to minimize the risk of privacy violation of a child’s PII and related data.
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