A Secure and Efficient Privacy-Preserving Protocol for Crowd Sensing Using Signcryption
摘要
In today’s world of crowd sensing, the online dissemination of critical information by end users poses significant security challenges, particularly concerning user privacy. Effective communication in such contexts necessitates addressing confidentiality, authentication, and user anonymity. While encryption is a traditional method for ensuring confidentiality and digital signatures provide authentication, achieving both objectives simultaneously and efficiently requires a more integrated approach. Signcryption provides an optimal solution, combining encryption and signature functionalities into a single process to address these needs cost-effectively. To further safeguard user anonymity, ring signatures are employed to prevent privacy leakage. In this paper, we propose an anonymous signcryption scheme that is very useful in situations where the actual identity of the user is kept secret while ensuring message authenticity. The proposed protocol also offers additional security features such as unforgeability, anonymity, consistency and forward secrecy, making it a robust solution for modern crowd-sensing applications.