Algorithmic Protection Study Based on a Virtual Location
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53401-0_14
Reference21 articles.
1. Yu, S., Lee, J., Park, K., et al.: IOV-SMAP: secure and efficient message authentication protocol for IOV in smart city environment. IEEE Access 8, 167875–167886 (2020)
2. Li, B., Liang, R., Zhou, W., et al.: LBS meets blockchain: an efficient method with security preserving trust in SAGIN. IEEE Internet Things J. 9(8), 5932–5942 (2022)
3. Ye, J., Kang, X., Liang, Y.-C., et al.: A trust-centric privacy-preserving blockchain for dynamic spectrum management in IoT networks. IEEE Internet Things J. 9(15), 13263–13278 (2022)
4. Albouq, S., Sen, A., Namoun, A., et al.: A double obfuscation approach for protecting the privacy of IoT location based applications. IEEE Access 8, 129415–129431 (2020)
5. Yang, M., Ye, B., Chen, Y., et al.: A trusted de-swinging k-anonymity scheme for location privacy protection. J. Cloud Comput. 11(1), 2 (2022)
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