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Personally Identifiable Behavior: Hidden Threats to Privacy

Personally Identifiable Behavior: Hidden Threats to Privacy
Personally Identifiable Behavior: Hidden Threats to Privacy
File Size:
3.93 MB
Author:
Osama Shilbayeh
Date:
29 November 2024
The goal of this project is to examine the link between personally identifiable behavior and privacy violations. Significance of the Study - PII provides information about an individual, and its violation results in cross-sectional privacy issues. PIB provides knowledge about an individual, and its violation results in longitudinal privacy issues. It can result in targeted attacks and behavior prediction and can be more persistent since it is based on an individual's behavior. PIB can also be achieved by accumulations of PII that are not protected by any law, such as mobile device sensors, IoT devices, smart home devices, and virtual reality hardware. Consumers are currently unaware of the application of such data, which threatens their privacy.
 
 
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