Advances in hardware technology like mobile phones, GPS enabled devices etc., have increased the capability to locate and store the spatio-temporal data of moving objects and thereby obtain information about individuals and their behavior. Data leakage from such Location Based Services (LBS) is increasing with the exponential growth of technology, resulting in an innate risk of privacy threats. Data, thus obtained, may be used for a variety of intrusive and malicious purposes and privacy attacks, such as user identification attack, sensitive location tracking attack, sequential tracking attack, etc. A framework is essential to the preserve location privacy of moving objects. In this paper, a two-tier security framework is proposed. In the first tier, algorithms SSET and SIMET are implemented to provide efficient means to encrypt the SIM and IMEI numbers respectively, thus protecting user identity. In the second-tier, Enhanced Privacy Framework (EPF) is used which is a combination of HERMES framework and Statistical framework that protects users against the major attacks on location privacy. Combining these two approaches, a new method named TTPP (Two Tiered Privacy Preservation) is proposed. © Research India Publications.
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B.A. Sabarish, Divya, C., Shankar, H., and Pradisa, S., “A novel method to preserve privacy: Two- tiered privacy preservation”, International Journal of Applied Engineering Research, vol. 10, pp. 6659-6674, 2015.