International Journal of Computer Networks and Applications

Albelaihy Abdullah ¹, Jonathan Cazalas ²

Affiliations
1 Department of Computer Science, King Abdul-Aziz University, SA
2 Department of Computer Science, College of Computing and Information Technology, King Abdul-Aziz University, SA

Abstract

In the technology of LBS i.e. location based services, location related queries are submitted to the mobile users. These queries are submitted to untrusted server of LBS for obtaining service. However, these queries considerably stimulate and produce privacy issues associated with mobile users. FGcloak has been proposed so as to address this privacy related issue. It has been revealed that the FGcloak is considered as the fine grained spatial cloaking method based on the query probability levels to generate k-anonymity used for the privacy aware mobile users in the location based services. The modified Hilbert Curve is used so as to efficiently guarantee k-anonymity and simultaneously offers bigger cloaking region.

Keywords

LBS, FGcloak, Fine Grained Spatial Cloaking, Location Based Services.

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Muhammad Jawad Ikram ¹, Jonathan Cazalas ²

Affiliations
1 Department of Computer Science, King Abdul-Aziz University, Jeddah, SA
2 Department of Computer Science, King Abdul-Aziz University, Jeddah, IN

Abstract

The ubiquitous nature of smartphones and GPS-enabled devices, coupled with the increasingly popular usage of location-based services, has effectively created an environment where data access truly is anywhere at any time. While said environment is indeed convenient and quite useful, the unfortunate reality is that users are exposed to a variety of privacy and security threats. User location information can be tracked and then used in malicious ways by non-trusted applications and adversaries. We address this problem by proposing an efficient, collaborative technique that is integrated with an intrusion detection system and rekeying techniques. The algorithm is parameterized by defining performance and security metrics, which can then be used to find optimal settings, both in terms of privacy and quality of service. Based on the proposed performance-security metrics, the tradeoff between privacy and quality of service can be quantified.

Keywords

Intrusion Detection System (IDS), LBRA, Location-Based Services (LBS), Privacy, Rekeying.

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