Constructing dummy query sequences to protect location privacy and query privacy in location-based services

Peng, T., Liu, Q., Wang, G.: Enhanced location privacy preserving scheme in location-based services. IEEE Syst. J. 11(1), 219–230 (2017)

Zeng, S., Mu, Y., He, M., et al.: New approach for privacy-aware location-based service communications. Wirel. Pers. Commun. 11(2), 1057–1073 (2018)

Li, Z., Pei, Q., Markwood, I., et al.: Location privacy violation via GPS-agnostic smart phone car tracking. IEEE Trans. Veh. Technol. 67(6), 5042–5053 (2018)

Ghaffari, M., Ghadiri, N., Manshaei, M.H., et al.: P4QS: A peer to peer privacy preserving query service for location-based mobile applications. IEEE Trans. Veh. Technol. 66(10), 9458–9469 (2017)

Kalaiarasy, C., Sreenath, N., Amuthan, A.: Location privacy preservation in VANET using mix zones - a survey. Proc ICCCI , 1–5 (2019)

Ding, X., Yang, W., Choo, R., et al.: Privacy-preserving similarity joins using MapReduce. Inf. Sci. 493, 20–33 (2019)

Dewri, R., Thurimella, R.: Mobile local search with noisy locations. Pervasive Mob Comput 32, 78–92 (2016)

Zhang, L., Li, J., Yang, S., et al.: Privacy preserving in cloud environment for obstructed shortest path query. Wirel. Pers. Commun. 96(2), 2305–2322 (2017)

Niu, B., Li, Q., Zhu, Q., et al.: Achieving k-anonymity in privacy-aware location-based services (2014)

Wu, Z., Li, G., Liu, Q., Xu, G., Chen, E.: Covering the sensitive subjects to protect personal privacy in personalized pecommendation. IEEE Trans. Serv. Comput. 11(3), 493–506 (2018)

Li, F., Zhang, C., Niu, B., et al.: Efficient scheme for user’s trajectory privacy. Chin. J. Commun. 36(12), 114–123 (2015)

Ravi, N., Krishna, C., Koren, I.: Enhancing vehicular anonymity in ITS: a new scheme for mix zones and their placement. IEEE Trans. Veh. Technol. 68 (11), 10372–10381 (2019)

Palanisamy, B., Liu, L., Lee, K., et al.: Anonymizing continuous queries with delay-tolerant mix-zones over road networks. Distrib Parallel Databases 32(1), 91–118 (2014)

Memon, I., Ali, Q., Zubedi, A., et al.: DPMM: Dynamic Pseudonym-based multiple mix-zones generation for mobile traveler. Multimed Tools Appl, 1–30 (2016)

Zhao, D., Jin, Y., Zhang, K., et al.: EPLA: efficient personal location anonymity. GeoInformatica 22(1), 29–47 (2018)

Gedik, B., Liu, L.: Protecting location privacy with personalized k-anonymity: Architecture and algorithms. IEEE Trans. Mob. Comput. 7(1), 1–18 (2008)

Xue, D., Wu, L., Li, H., et al.: A novel destination prediction attack and corresponding location privacy protection method in geo-social networks. Int. J. Distrib. Sens. Netw. 13(1), 1–16 (2017)

Soma, S., Hashem, T., Cheema, M., et al.: Trip planning queries with location privacy in spatial databases. World Wide Web 20, 205–236 (2017)

Agir, B., Papaioannou, T., Narendula, R., et al.: User-side adaptive protection of location privacy in participatory sensing. GeoInformatica 18 (1), 165–191 (2014)

Dewri, R., Thurimella, R.: Exploiting service similarity for privacy in location-based search queries. IEEE Trans. Parallel Distrib. Syst. 25(2), 374–383 (2014)

Andrs, M.E., Bordenabe, N.E., Chatzikokolakis, K., et al.: Geo-indistinguishability: Differential privacy for location-based systems. Proc. CCS, 901–914 (2013)

Mendes, R., Cunha, M., Vilela, J.: Impact of frequency of location reports on the privacy level of geo-indistinguishability. Proc. Priv. Enhanc. Technol. 2, 379–396 (2020)

Dong, X., Zhang, T., Lu, D., et al.: Preserving geo-indistinguishability of the primary user in dynamic spectrum sharing. IEEE Trans. Veh. Technol. 68(9), 8881–8892 (2019)

Lai, J., Mu, Y., Guo, F., et al.: Privacy-enhanced attribute-based private information retrieval. Inf. Sci. 454, 275–291 (2018)

Mei, Z., Zhu, H., Cui, Z., et al.: Executing multi-dimensional range query efficiently and flexibly over outsourced ciphertexts in the cloud. Inf. Sci. 432, 79–96 (2018)

Zhang, L., Tang, S., Chen, J., et al.: Two-factor remote authentication protocol with user anonymity based on elliptic curve cryptography. Wirel. Pers. Commun. 81(1), 53–75 (2015)

Ding, X., Liu, P., Jin, H.: Privacy-preserving multi-keyword top-k similarity search over encrypted Data. IEEE Trans. Depend. Secure Comput. 16(2), 344–357 (2019)

Khoshgozaran, A., Shirani-Mehr, H., Shahabi, C.: Blind evaluation of location based queries using space transformation to preserve location privacy. GeoInformatica 17(4), 599–634 (2013)

Meng, W., Lee, B., Xing, X., et al.: Trackmeornot: Enabling flexible control on web tracking. Proc. of WWW, 99–109 (2016)

Wu, Z., Shi, J., Lu, C., et al.: Constructing plausible innocuous pseudo queries to protect user query intention. Inf. Sci. 325, 215–226 (2015)

Wu, Z., Li, R., Xie, J., et al.: A user sensitive subject protection approach for book search service. J. Assoc. Inf. Sci. Technol. 71(2), 183–195 (2020)

Leskovec, J., Sosic, R.: SNAP: A general-purpose network analysis and graph-mining library. ACM Trans. Intell. Syst. Technol. 8(1), 1 (2016)

Haus, M., Waqas, M., Ding, A., et al.: Security and privacy in device-to-device (D2D) communication: a review. IEEE Commun. Surv. Tutor. 19(2), 1054–1079 (2017)