Fast and Secure Location-based Services in Smart Cities on Outsourced Data
Product Description
Aim:
The main aim of this project is to provide a secure LBS in smart cities with privacy preserving top-k spatial-textual keyword query scheme.
Abstract:
The convergence of technologies like Cloud computing, mobile, and smart phone technologies has led to the rapid development of location-based services (LBS) in smart cities. For flexibility and cost savings, there is a recent trend to migrate LBS to the Cloud, however it poses a serious threat to the user privacy. In this paper, we present a new privacy preserving top-k spatio-textual keyword (TkSK) query scheme, called privacy-preserving spatio-textual index (Smart City), which is performed over outsourced Cloud and can enable secure LBS in smart cities. In a query user’s accurate location is protected by the combination of Boneh–Goh–Nissim homomorphic encryption and hash bucket techniques, and the privacy of textual information are persevered by a one-way hash function. In addition, a quad-tree-based spatio-textual indexing is integrated into smart city to further reduce the query latency. Detailed security analyzes show that the proposed Smart City scheme is indeed a privacy-preserving TkSK query scheme. Furthermore, extensive experiments are conducted, and results confirm the scalability, efficiency properties of our proposed Smart City scheme.
PROPOSED SYSTEM
Here an authenticated user will be allowed to use our LBS services. The first part of our services is Check-in scenario. First when the user selects the check-in option , user need to select the category of place and the user’s current location will be taken and undergone Rough Range Algorithm. Now the location data will be hashed using the user’s key and the request will be sent to the cloud server. As a result the relevant places will be sent as response as hashes encoded with respective user’s key. When an authenticated Smart City user signin into the application they can do search query and look for their user defined places with some special keywords. First our application checks for user’s current GPS location and process it into rough range calculation then the hashed location will be sent to the server along with the hashes of this user query and check with the existing hash-table. Then the matching places will be sent as response to the user. Hence all relevant places matching the user’s category will be plotted into map layout
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Package Includes
Software Projects Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
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The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days
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- Demo Video
- Abstract
- Base paper
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- Full Project Documentation
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The Delivery time for Hardware
projects is 7-8 working days.
Mini Projects: Software Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- UML Diagrams
- SRS
- Source Code
- Screen Shots
- Software Links
- Reference Papers
- Full Project Documentation
- Online support
The
Delivery time for software Miniprojects is 2 -3 working days.
Mini Projects - Hardware includes
- Demo Video
- Abstract
- PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Full Project Documentation
- Online
support
The Delivery time for Hardware Mini projects is 7-8 working days.