Exploiting service similarity for privacy in location based search queries
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The document outlines a user-centric architecture for location-based services that allows users to understand the impact of location inaccuracy on service quality, addressing privacy concerns in location-based applications. It discusses the limitations of existing location-sensitive systems, highlighting issues with secure location proof provision and the inaccuracy of current tracking methods. The proposed system includes a local search application that enhances privacy while effectively detecting colluding attacks and facilitating meaningful user-service provider interactions.
Exploiting service similarity for privacy in location based search queries
- 1. Exploiting Service Similarity for Privacy in Location Based Search Queries ABSTRACT Location-based applications utilize the positioning capabilities of a mobile device to determine the current location of a user, and customize query results to include neighboring points of interests. However, location knowledge is often perceived as personal information. One of the immediate issues hindering the wide acceptance of location-based applications is the lack of appropriate methodologies that offer fine grain privacy controls to a user without vastly affecting the usability of the service. While a number of privacy-preserving models and algorithms have taken shape in the past few years, there is an almost universal need to specify one’s privacy requirement without understanding its implications on the service quality. In this paper, we propose a user-centric locationbased service architecture where a user can observe the impact of location inaccuracy on the service accuracy before deciding the geo-coordinates to use in a query. We construct a local search application based on this architecture and demonstrate how meaningful information can be exchanged between the user and the service provider to allow the inference of contours depicting the change in query results across a geographic area. Results indicate the possibility of large default privacy regions (areas of no change in result set) in such applications. EXISTING SYSTEM: There are many kinds of location-sensitive applications. One category is location-based access control. Another class of location-sensitive applications requires users to provide past location proofs such as auto insurance quote in which auto insurance companies offer discounts to drivers who can prove that they take safe routes during their daily
- 2. commutes, police investigations in which detectives are interested in finding out if a person was at a murder scene at some time, and location-based social networking in which a user can ask for a location proof from the service requester and accepts the request only if the sender is able to present a valid location proof. The common theme across these location sensitive applications is that they offer a reward or benefit to users located in a certain geographical location at a certain time. Thus, users have the incentive to cheat on their locations. DISADVANTAGES OF EXISTING SYSTEM: · In the location-sensitive applications there is a lack of secure mechanism to provide their current or past locations to applications and services. · Although cellular service providers have tracking services that can help verify the locations of mobile users in real time, the accuracy is not good enough and the location history cannot be verified. PROPOSED SYSTEM: We propose a user-centric locationbased service architecture where a user can observe the impact of location inaccuracy on the service accuracy before deciding the geo-coordinates to use in a query. We construct a local search application based on this architecture and demonstrate how meaningful information can be exchanged between the
- 3. user and the service provider to allow the inference of contours depicting the change in query results across a geographic area. Results indicate the possibility of large default privacy regions (areas of no change in result set) in such applications. ADVANTAGES OF PROPOSED SYSTEM: We can effectively provide location proofs, significantly preserve the source location privacy, and effectively detect colluding attacks. Mobile local search is demonstrating an upward market trend. Architecture:
- 4. Modules: 1. Admin Module. 2. Service quality. 3. A local search application 4. User Module. Admin Module: In this module admin can register and he can login. After login admin can accept user’s registration. Hera Admin will Check About User Information. If it is right he will accept. Then only users can login to website. Admin can see users list and delete users. Admin can accept user posts. Like information about ATMs, hotels, shopping malls and so on. He can delete user post information also. Admin Will See Users location. Where user will went and which time like that he can search about all users location information. And he can change his password. Service quality:
- 5. Towards this end, prior research have led to the development of a number of privacy criteria, and algorithms for their optimal achievement. However, there is no known attempt to bring into view the mutual interactions between the accuracy of a location coordinate and the service quality from an application using those coordinates. A LOCAL SEARCH APPLICATION: Mobile local search is demonstrating an upward market trend, the gap with the desktop counterpart diminishing in the next three years, and then rising further2. Given the penetration of web-enabled handheld devices in the consumer market, it has become exceedingly common for a user to instantly look up the information she seeks to find. User Module: In this module user can register. And he can login. After login user will enter his present location. Why because we don’t have any GPS in our system. That’s why we will give externally. Then it will redirect to maps page. It will show about your all locations in map. User can enter Details about local services. It will host after admin conformation into website. User can search about local services like atms, restarents and so on. User can see his total locations in map. He can update his profile picture. He can change his password. Hardware Requirements:
- 6. • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb. • Monitor : 14’ Colour Monitor. • Mouse : Optical Mouse. • Ram : 512 Mb. • Keyboard : 101 Keyboards. Software Requirements: • Operating system : Windows 7 32 bit. • Coding Language : ASP.Net 4.0 with C# • Data Base : SQL Server 2008.
- 7. • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb. • Monitor : 14’ Colour Monitor. • Mouse : Optical Mouse. • Ram : 512 Mb. • Keyboard : 101 Keyboards. Software Requirements: • Operating system : Windows 7 32 bit. • Coding Language : ASP.Net 4.0 with C# • Data Base : SQL Server 2008.