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Locationbased services (LBS) use geospatial data of mobile device to provide information in real time. A key concern in using these services is the need to reveal the user’s exact location, which may allow an adversary to infer private information about the user. To address the privacy concerns of LBS users, a number of security approaches have been proposed based on the concept of k-anonymity. The central idea in location k-anonymity is to find a set of k-1 users close to the actual user, such that the locations of these k users are indistinguishable from one another, thus protecting the identity of the user. A number of performance parameters like success rate, amount of privacy achieved are used to measure the performance of the k-anonymity approaches. However, there is no formal model to compare the different k-anonymity approaches. Moreover, these proposals also make the implicit, unrealistic assumption …