文章基本信息

标题：Efficient Collaborative Technique using Intrusion Detection System for Preserving Privacy in Location-based Services
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作者：Muhammad Jawad Ikram ; Jonathan Cazalas
期刊名称：International Journal of Computer Networks and Applications (IJCNA)
电子版ISSN：2395-0455
出版年度：2015
卷号：2
期号：5
页码：222-231
语种：English
出版社：EverScience Publications
摘要：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.