27-09-2016, 10:20 AM
1456287565-2.Userdefinedprivacygridsystemabstract.docx (Size: 75.45 KB / Downloads: 8)
ABSTRACT:
Due to the popularity of mobile devices (e.g., cell phones, PDAs, etc.), location-based services have become more and more prevalent in recent years. However, users have to reveal their location information to access location-based services with existing service infrastructures. It is possible that adversaries could collect the location information, which in turn invades user’s privacy. There are existing solutions for query processing on spatial networks and mobile user privacy protection in Euclidean space. However there is no solution for solving queries on spatial networks with privacy protection. Therefore, we aim to provide network distance spatial query solutions which can preserve user privacy by utilizing K-anonymity mechanisms. We propose a user-defined privacy grid system called dynamic grid system (DGS); the first holistic system. Our system can be easily extended to support other spatial queries without changing the algorithms run by the semi-trusted third party and the database server, provided the required search area of a spatial query can be abstracted into spatial regions.
Existing System:
As a result of recent technological advances, mobile devices with significant computational abilities, gigabytes of storage capacity, and wireless communication capabilities have become increasingly popular. In addition, positioning techniques are embedded into more and more mobile devices. Based on these advances, new mobile applications allow users to issue location-dependent queries in a ubiquitous manner. With rapid advances in mobile communication technologies and continued price reduction of location tracking devices, location-based services (LBSs) are widely recognized as an important feature of the future computing environment. Though LBSs provide many new opportunities, the ability to locate mobile users also presents new threats − the intrusion of location privacy. Location privacy is defined as the ability to prevent unauthorized parties from learning one’s current or past location. Location privacy threats refer to the risk that an adversary can obtain unauthorized access to raw location data derived or computed location information by locating a transmitting device, hijacking the location transmission channel and identifying the subject using the device. For example, location information can be used to spam users with unwanted advertisements or to learn about users’ medical conditions, unpopular political or religious views. Inferences can be drawn from visits to clinics, doctor’s offices, entertainment clubs or political events. Public location information can lead to physical harm, such as stalking or domestic abuse.
DISADVANTAGES:
1. There is no security to user Location information.
2. Continuously expanding cloaked areas substantially increases in-efficiency of the query processing.
3. Privacy Leakage occurred by Third Party, means Third Party knows the exact location of every user.
PROPOSED SYSTEM:
We propose a user-defined privacy grid system called dynamic grid system (DGS) to provide privacy-preserving snapshot and continuous LBS. The main idea is to place a semi trusted third party, termed query server (QS), between the user and the service provider (SP). QS Only needs to be semi-trusted because it will not collect/store or even have access to any user location information. Semi-trusted in this context means that while QS will try to determine the location of a user, it still correctly carries out the simple matching operations required in the protocol, i.e., it does not modify or drop messages or create new messages. Finally, we described the Privacy Grid System framework which allows users to express their privacy requirements in terms of location hiding and POIs measures to control query processing overheads.
ADVANTAGES:
1. We provide more security to user location details. It is possible by a semi-trusted query server (QS) located between users and service providers and
2. We remove Trusted Third Party (TTP).
3. Low communication cost of Dynamic Grid System (DGS) for the user does not depend on the user-specified query area size. It only depends on the number of POIs in the grid cells overlapping with a query’s required search area.
MODULES:
1. Query Processing module
2. Mobile Users module
3. Location Cloaker module
4. Location-Based Service Providers module
Module Description:
Query Processing:
This module allows admin verify the user requests and check the user request is contain in our database or not. If the database contains the user requests to calculate the range (Distance) value, and then send response to the appropriate values, suppose the request doesn’t contain in the database send response is „Record Not Found‟ that query sent to the particular user.
Mobile Users:
All users are mobile and travel on the underlying network and they also hold privacy policies which specify the privacy requirements of each user.
Location Cloaker:
The location Cloaker is an intermediate agent which can be trusted by mobile users. The location Cloaker receives continuous location updates from mobile users.
Location-Based Service Provider:
Location-based service providers play the role of spatial data maintainers and spatial query processors in our system. In order to handle privacy protected spatial queries, location-based service providers implement privacy protected query processors in their databases.
SYSTEM REQUIREMENTS:
Hardware Requirements:
• Processor - Pentium –IV
• Speed - 1.1 Ghz
• Ram - 256 Mb
• Hard Disk - 20 Gb
• Key Board - Standard Windows Keyboard
• Mouse - Two or Three Button Mouse
• Monitor - SVGA
Software Requirements:
• Operating System : Windows XP
• Coding Language : Java