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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM21873

Location Based Privacy Using Geotagging Cloaking Algorithm

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM21873

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RK

Rohit Kamalay

KK

Kundan Kumar

LSR

Lalit Sagar Rachala

M

Montu

MSSR

Mrs. Sowmya S R

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Abstract

Location-based privacy is an important aspect of modern applications that utilize user geolocation data. This abstract presents a solution for location-based privacy using a cloaking algorithm. The algorithm aims to protect the privacy of users by obfuscating their precise location while still providing relevant location-based services. The proposed system leverages the Geolocation API and the Leaflet library to obtain and display the user’s current position on a map. The algorithm dynamically adjusts the user’s displayed location by introducing a small random displacement, ensuring that the user’s exact location remains concealed. The system also incorporates measures to handle user consent and provide accurate estimations of location accuracy. By implementing this cloaking algorithm, location-based applications can strike a balance between personalized services and user privacy, enhancing the overall user experience and maintaining user trust.

KEYWORDS

Leaflet Location Based Services (LBSs) Location Privacy Voronoi diagram (VD).

Cite This Article

Rohit Kamalay, Kundan Kumar, Lalit Sagar Rachala, Montu, Mrs. Sowmya S R, "Location Based Privacy Using Geotagging Cloaking Algorithm," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM21873

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Publication Date

5/24/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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