Show Abstract
Due to the emergence of new paradigms such as social media and the Internet of Things (IoT), the use of the Internet has ushered in further challenges. After years of research, there is still no com-plete layer of identity on the Internet. In order to provide identity management, self-sovereign identity has become a popular choice. Self-sovereign identities provide users with complete autonomy and immutability for personal identities, as well as complete control for their identity owners. Like any type of identity, a self-sovereign identity also processes the Personally Identifiable Information (PII) of the identity holder and faces privacy and security risks com-mon to identity management. This research proposes a model of determining PII sensitivity by a score to measure what attributes or combination thereof is sensitive to share. Our work highlights that while it is important to improve how PII attributes are shared, it is paramount to identify which PII attributes are safer to share to achieve the same identity management goals.
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