Abstract
Location-based services (LBS) are one of the emerging technologies in the mobile, networking, and information services (Padmanaban, Int J Adv Remote Sens GIS 2:398–404, 2013 [1]). Users of LBS exchange information based on location like maps and navigation, location-based information, location tracking services, social networking, vehicular direction finding, and location-based advertisement. LBS users’ provide highly personalize information to the service providers like location information and personal identity. Location privacy and communication privacy are one of the key issues of LBS. A cryptographic technique is used for avoiding position tracking, secure information sharing, data integrity, and authentication in the mobile network. Location-based services are classified as trusted third party and without trusted third party that uses cryptographic approaches. Trusted third party model guarantees the privacy of the user in LBS. The main issue is that end users are not inevitably gratified by trusting intermediate entities. Trusted third party (TTP) free model can be taken as an excellent approach from all the existing ones for location privacy in LBS. The main aim of the paper is to give a comprehensive survey of location privacy and also proposed effective approach that guarantee the privacy of LBS users with improving scalability, minimum cost.
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References
Padmanaban, R.: Location privacy in location based services: unsolved problem and challenge. Int. J. Adv. Remote Sens. GIS 2(1), 398–404 (2013)
Magkos, E.: Cryptographic approaches for privacy preservation in location-based services: a survey. Int. J. Inf. Technol. Syst. Approach (ACM) 4(2) (2011)
Yang, G., Li, J., Zhang, S., Zhou, H.: A survey of location-based privacy preserving. JCIT (2013)
Yang, N., Cao, Y., Liu, Q., Zheng, J.: A novel personalized TTP-free location privacy preserving method. Int. J. Secur. Appl. 8(2) (2014)
Solanas, A., Domingo-Ferrer, J., Martínez-Ballesté, A.: Location Privacy in Location-Based Services: Beyond TTP-based Schemes, projects TSI2007-65406-C03-01“E-AEGIS” (2010)
Ghinita, G., Kalnis, P., Khoshgozaran, A., Shahabi, C., Tan, K.-L.: Private queries in location based services: anonymizers are not necessary. In: ACM SIGMOD International Conference on Management of Data, pp. 121–132 (2008). ISBN: 978-1-60558-102-6
Ghinita, G., Kalnis, P., Kantarcioglu, M., Bertino, E.: A Hybrid Technique for Private Location-Based Queries with Database Protection, Springer Advances in Spatial and Temporal Databases Volume 5644 of the series Lecture Notes in Computer Science, pp. 98–116 (2009), ISBN: 978-3-642-02982-0
Solanas, A., Martínez-Ballesté, A.: A TTP-free protocol for location privacy in location-based services. Elsevier Trans. Comput. Commun. (2008)
Solanas, A., Martínez-Ballesté, A.: Privacy Protection in Location-Based Services Through a Public-Key Privacy Homomorphism. Springer (2007)
Wernke, M., Skvortsov, P., Dürr, F., Rothermel, K.: A Classification of Location Privacy Attacks and Approaches. Springer (2013)
Huang, Y., Vishwanathan, R.: Privacy preserving group nearest neighbor queries in location-based services using cryptographic techniques. In: IEEE Global Telecommunications Conference GLOBECOM (2010)
Bettini, C., Sean Wang, X., Jajodia, S.: Protecting Privacy Against Location-based Personal Identification (2006)
Jariwala, V., Jinwala, D.: Evaluating homomorphice encryption algorithms for privacy in wireless sensor network. Int. J. Adv. Comput. Technol. 3(6) (2011)
Shastry, S.R., Deshmukh, P.K., Bagwan, A.B.: Generating: random regions in Spatial cloaking algorithm for location privacy preservation. IOSR J. Comput. Eng. (IOSR-JCE) 9(4), 46–49 (2013). e-ISSN: 2278-0661, p-ISSN: 2278-8727
Yang, G., Li, J., Zhang, S., Zhou, H.: A survey of location-based privacy preserving. JCIT (2013)
Wernke, M., Skvortsov, P., Dürr, F., Rothermel, K.: A classification of location privacy attacks and approaches. In: Personal and Ubiquitous Computing. Springer (2013)
Gupta, R., Rao, U.P.: An exploration to privacy issues in location based services. In: 3rd Security and Privacy Symposium, IIIT–Delhi (2015)
Amro, B., Saygin, Y., Levi, A.: Enhancing privacy in collaborative traffic-monitoring systems using autonomous location update, The Institution of Engineering and Technology. IEEE (2013)
Zhu, X., Lu, Y., Zhu, X., Qiu, S.: A location privacy-preserving protocol based on homomorphic encryption and key agreement. In: International Conference on Information Science and Cloud Computing Companion. IEEE (2014)
Ashouri-Talouki, M., Baraani-Dastjerdi, A.: Homomorphic encryption to preserve location privacy. Int. J. Secur. Appl. 6(4) (2012)
Tyagi, A.K., Sreenath, N.: Preserving location privacy in location based services against sybil attacks. Int. J. Secur. Appl. 9(12) (2015)
Patil, S., Ramayane, S., Jadhav, M., Pachorkar, P.: Hiding user privacy in location base services through mobile collaboration: a review. In: International Conference on Computational Intelligence and Communication Networks. IEEE (2015)
Peng, T., Liu, Q., Wang, G.: Enhanced location privacy preserving scheme in location-based services. IEEE Syst. J. (2014)
Shokri, R., Theodorakopoulos, G., Papadimitratos, P., Kazemi, E., Hubaux, J.-P.: Hiding in the mobile crowd: location privacy through collaboration. IEEE Trans. Dependable Secure Comput., Special Issue On Security And Privacy In Mobile Platforms (2014)
Tyagi, A.K., Sreenath, N.: Future challenging issues in location based services. Int. J. Comput. Appl. (0975 – 8887) 114(5) (2015)
Patil, R.J., Joshi, K.K., Raksha, S.: Analysis on preserving location privacy. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 5(3) (2015). ISSN: 2277 128X
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Rathod, A., Jariwala, V. (2019). Investigation of Privacy Issues in Location-Based Services. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 707. Springer, Singapore. https://doi.org/10.1007/978-981-10-8639-7_6
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DOI: https://doi.org/10.1007/978-981-10-8639-7_6
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