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Smart city article details
| Title | Enhancing Privacy And Trust In Societal Surveillance Through Attribute-Based Encryption |
|---|---|
| ID_Doc | 23895 |
| Authors | Routray K.; Das A.; Bera P. |
| Year | 2025 |
| Published | International Conference on Communication Systems and Networks, COMSNETS, 2025 |
| DOI | http://dx.doi.org/10.1109/COMSNETS63942.2025.10885758 |
| Abstract | The widespread adoption of societal surveillance systems has significantly improved public safety, urban management, and resource efficiency. However, these systems have also raised serious concerns about individual privacy and data protection, highlighting the need for strong cryptographic mechanisms to protect sensitive information. In this research, we investigate the application of Ciphertext-Policy Attribute-Based Encryption (CP-ABE) as a means to enhance privacy within societal surveillance frameworks. Unlike traditional all-or-nothing1 encryption approaches, our proposed CP-ABE-based architecture enables selective access to encrypted data segments based on user attributes. This ensures that users can only access the specific data they are authorized to view, minimizing unnecessary data exposure and enhancing privacy and security. Our approach demonstrates how CP-ABE can effectively balance the requirements of surveillance with the imperative of protecting individual privacy, building public trust, and ensuring compliance with legal and ethical standards. Through a use-case scenario, we evaluate the system's performance and examine the trade-offs between security and computational efficiency. The results confirm that CP-ABE is a feasible solution for societal surveillance, offering a scalable and adaptable privacy-preserving approach for smart cities and beyond. © 2025 IEEE. |
| Author Keywords | Access Policy; CP-ABE; Privacy; Societal Surveillance; Trust |
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