Abstract
Nowadays, location-based services are being widely popularized due to their massive usage in current and emerging technologies. These services are based on searching out areas of interest which are likely to be accessed by users. Despite helping users worldwide, Location Based Services (LBSs) Systems endanger users' privacy because a user must provide personal information in order to use the services. Users thus become easy prey for assailants to access their social and personal lives. This problem is a giant issue for contemporary technologies because they are increasingly being used with the passage of time. Many existing solutions have attempted to resolve the challenges, but they face some serious dilemmas regarding the preservation of privacy. In order to address the privacy challenges in LBS systems, in this paper we have introduced a new Hierarchy Based Location Privacy (HBLP) model that protects the user's privacy, including the user's query time and identity and location information. The proposed model protects the user's privacy by using pseudo identity exchange, an aggregation protocol, and the concepts of Forest User (FU), Tree User (TU), and Child Users (CU) with k-anonymity and t-closeness, which is a reasonable combination for privacy provision for a user's query time, identity, and location. In order to evaluate the privacy protection level, we implemented the HBLP model in a Riverbed (Opnet) simulation and compared the results with existing state-of-the-art privacy-provisioning methods. The results showed that HBLP protected all the privacy attributes when a user interacts with an LBS system.
Highlights
Today, internet technology is speedily expanding, and people can explore areas and associate and make friends with others who are geographically far away [1]
We thoroughly studied recently proposed approaches, and through comparing them, we found the best ones among them. We analyzed these approaches with regard to their implementations, results, and the devices used for the development of these approaches, and by doing a comprehensive analysis, we developed a new framework which fulfils our main objective by creating a scenario which includes different encryption schemes, servers, and the devices used at the user’s end
The accessibility of mobile devices with incorporated position sensors and Location Based Services (LBSs) systems is extremely prevalent. Since these services access personal information when a user interact with an LBS system, measures to maintain a user’s privacy are necessary when they are making queries
Summary
Internet technology is speedily expanding, and people can explore areas and associate and make friends with others who are geographically far away [1]. When accessing individuals or areas or when retrieving information based upon Location Based Services (LBSs), protecting one’s own location information is extremely important LBSs are beneficial in that they allow the discovery of multiple places like [2] educational organizations, hotels, parks, shopping malls, and nonprofit organizations, and delivers several types of services like publicizing services, vending services, and transportation services, etc. They reveal a user’s location, identity, and temporal information, and we have to secure these three attributes from unsanctioned access. There may be occasions where we can provide a dummy
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
