A Conceptual Framework for Enhancing Mobile Screen Privacy Using Smart Glasses

In today's world, we rely so heavily on smartphones that we store almost all our personal and professional data in them and often use them in public putting our privacy at risk. Common solutions like screen protectors or basic encryption don't keep up with today's real-time threats (such as shoulder surfing or visual eavesdropping) in public spaces. This paper suggests a novel and conceptual framework supporting smart glasses to ensure display privacy by rendering sensitive content in a way that it is visible only to the intended user while presenting decoy content or a blank screen to bystanders. At its core, the system combines real-time encrypted communication using AES-256 and RSA-2048, seamless display transfer through Bluetooth Low Energy (BLE) and Wi-Fi Direct, and intelligent bystander detection powered by a lightweight convolutional neural network (CNN). What sets this framework apart is its ability to adapt on the switching modes based on the environment like tracking the user's gaze for optimal display, adjusting brightness to suit lighting conditions and securing access through multi-factor authentication. Again, with a clear plan for evaluating speed, accuracy and battery usage it opens the door to real-world applications in near future. Hence, by identifying gaps in current research, this study presents a novel architecture and a theoretical foundation to guide future implementation offering a compelling case for advancing mobile privacy solutions.