EPLQ: Efficient Privacy-Preserving Location-Based Query Encrypted Data

The pervasiveness of smart phones, location based services (LBS) have received considerable attention and become more popular and vital recently. However, the use of LBS also poses a potential threat to user’s location privacy. In this paper, aiming at spatial range query, a popular LBS providing information about POIs (Points of Interest) within a given distance, we present an efficient and privacy-preserving location based query solution, called EPLQ. Specifically, to achieve privacy preserving spatial range query, we propose the first predicate only encryption scheme for inner product range, which can be used to detect whether a position is within a given circular area in a privacy-preserving way. To reduce query latency, we further design a privacy-preserving tree index structure in EPLQ. Detailed security analysis confirms the security properties of EPLQ. EPLQ: Efficient Privacy-Preserving Location-Based Query Encrypted Data In addition, extensive experiments are conducted, and the results demonstrate that EPLQ is very efficient in privacy preserving spatial range query over outsourced encrypted data. In particular, for a mobile LBS user using an Android phone, around 0.9 second is needed to generate a query; and it also only requires a commodity workstation, which plays the role of the cloud in our experiments, a few seconds to search POIs.

EPLQ

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Software Requirements: –
Front End: HTML5, CSS3, Bootstrap
Back End: PHP, MYSQL
Control End: Angular Java Script

Android Tools:
IDE: Android Studio
Android Emulator
XAMPP 7.4 – 64 bit

PHP Tools:
XAMPP 7.4 – 64 bit

Existing Solution:

• Exist system has no location based query.
• There is no security level and chance to hack someone data.

Proposed Solution:

The use of LBSalso poses a potential threat to user’s location privacy. In this paper, aiming at spatial range query, a popular LBS providing information about POIs (Points Of Interest) within a given distance, we present an efficient and privacy-preserving location based query solution, called EPLQ. Specifically, to achieve privacypreserving spatial range query, we propose the first predicateonly

encryption scheme for inner product range, which can be used to detect whether a position is within a given circular area in a privacy-preserving way. To reduce query latency, we further design a privacy-preserving tree index structure in EPLQ.

Module Description

Challenge on the resource consumption in mobile devices.Many LBS users are mobile users, and their terminals are smart phones with very limited resources. However, the cryptographic or privacy-enhancing techniques used to realize privacy-preserving query usually result in high computational cost and/or storage cost at user side.

System Features

In the life of the software development, problem analysis provides a base for design and development phase. The problem is analyzed so that sufficient matter is provided to design a new system. Large problems are sub-divided into smaller once to make them understandable and easy for finding solutions. Same in this project all the task are sub-divided and categorized.

System Modules:

ADMIN

• Register
• Login
• Upload Data

USER

• Register
• Login
• Search Data(Decrypt data)

MODULES: 

ADMIN:

• Register and login:

Admin register their own details and enter this system.

• Upload Data:

Admin can upload their data to this system. These data are stored to database through Encrypted.

USER:

• Register and login:

User registers their details and enters this system with location details.

• Search Data:

User enter this system and search their data like Restaurant, Bank, Police Station and etc.,