The Potential Risks of Using Social Media: How Sharing Pictures with a Particular Pose Could Expose Biometric Data

Abstract

The rapid expansion of social media has transformed communication, 
enabling seamless information sharing across global networks. While 
these platforms enhance connectivity, they also pose significant privacy 
risks, particularly through the unintended exposure of sensitive 
biometric data. Every day, billions of images are shared online, often 
revealing more information than users intend, including identifiable 
fingerprint details. This study examines how publicly available images 
can be exploited to extract biometric data using digital image processing 
and forensic analysis. By applying techniques such as contrast 
enhancement, noise reduction, and ridge pattern extraction, we assess 
the feasibility of retrieving fingerprint details from shared images. 
Findings highlight the potential risks of unauthorised biometric data 
collection, raising concerns about identity theft, unauthorised access, 
and financial fraud. The study emphasises the need for greater user 
awareness and advocates for stronger security measures, including 
automated detection tools, stricter privacy settings, and enhanced 
encryption, to mitigate the risks associated with biometric data 
exposure on social media.