Parental Control with Edge Computing and 5G Networks

Abstract

Parental control methods are a popular tool to keep children safe in the digital world. Usually, digital parental control methods function by disclosing the entire log of child's on-line activities to their parents, and therefore, these methods do not consider the privacy of the child. Moreover, not all children are under protection, as not all parents provide this service for their children. In this paper, we propose a privacy preserving parental control protocol with edge computing that uses Artificial Intelligence techniques to automatically detect harmful contents for minors in 5G networks. Moreover, our protocol provides protection for all children, regardless of whether they have parents who pay for this extra service. Artificial Intelligence makes it possible to classify digital content automatically and also in real time. In order to make our protocol privacy preserving, we use multi-party Private Set Operation protocols.

Keywords

• privacy enhancing technologies
• parental control techniques
• 5g networks
• edge computing
• private set operation