Paper ID: 2403.12045

Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services

Muhammad Umair, Athman Bouguettaya, Abdallah Lakhdari

We propose a novel framework for crowdsourced images to determine the likelihood of an image being fake. We use a service-oriented approach to model and represent crowdsourced images uploaded on social media, as image services. Trust may, in some circumstances, be determined by using only the non-functional attributes of an image service, i.e., image metadata. We define intention of changes as a key parameter to ascertain fake image services. A novel framework is proposed to estimate the intention of underlying changes considering change in semantics of an image. Our experiments show high accuracy using a large real dataset.

Submitted: Nov 11, 2023