International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 3
May-June 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Location Based security for Preventing DataExposure in Corporate Environment

Author(s) Ms. Tabasum I, Prof. Dr. Karthikeyan S
Country India
Abstract Because of the threat of unauthorized access, especially now that many work remotely and use mobile gadgets, corporate data protection matters a lot today. Generally, old-fashioned security methods overlook where the user is at the time of accessing the website which is very important for determining if access is allowed. This project suggests using the current geographical location to help ensure data protection within access control. Equipped with GPS, IP geolocation and Wi-Fi positioning, the system allows or blocks access to important data according to secure areas set by management. Videos can be banned, their viewing reduced or additional checks may be required when attempts originate from unverified or blocked locations. It ensures that leaked data due to thieved credentials, used devices or inside abuse is prevented .Increasingly fast digital transformation and more people working from home have led to great difficulty securing sensitive company data. Most existing security models only check user identity and device status and they frequently ignore the importance of location. The project proposes a way to prevent data exposure using security that adapts to the user’s location both on the network and in the area around them.
Keywords Location-based security Data exposure prevention Corporate data protection
Field Computer Applications
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-06-09
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.47278
Short DOI https://doi.org/g9pzxf
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 3Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com