Exploring the Role of Human Behavior Analytics in Strengthening Privacy-Preserving Systems for Sensitive Data Protection
This study explores the complex interaction between human behavior and privacy within digital environments, emphasizing the behavioral patterns that influence privacy perceptions and risks. It examines how situational contexts and user preferences shape information-sharing behaviors, highlighting the importance of adaptive and context-aware systems. While innovative privacy features such as transparency mechanisms and real-time notifications empower user agency, the study underscores the necessity of reflective tools to promote long-term privacy awareness. By integrating ethical considerations and privacy-conscious design principles, the findings advocate for harmonizing technological advancements with user-centric safeguards to foster trust and ensure data protection in an increasingly interconnected digital ecosystem.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-24
- DOI
- https://doi.org/10.5281/zenodo.14550725
- Primary Topic
- Privacy, Security, and Data Protection
- Type
- article
- Field-Weighted Citation Impact
- 0.00