Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  LOCOPRO - The Location Provenance System
PaperId: :  5106
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 3 2017
DUI:    16.0415/IJARIIE-5106
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sudarshan B. BanoteDepartment of Computer Engineering, Pravara Rural Engineering College,Loni, Savitribai Phule Pune University, Pune
Mahesh S. BarwatDepartment of Computer Engineering, Pravara Rural Engineering College,Loni, Savitribai Phule Pune University, Pune
Kaustubh D. JagtapDepartment of Computer Engineering, Pravara Rural Engineering College,Loni, Savitribai Phule Pune University, Pune
Akshay B. ShekadeDepartment of Computer Engineering, Pravara Rural Engineering College,Loni, Savitribai Phule Pune University, Pune
Prof. M. R. Kharade Department of Computer Engineering, Pravara Rural Engineering College,Loni, Savitribai Phule Pune University, Pune

Abstract

Computer Engineering
Location Provenance, Asserted Location Proof, Secured Location Proof
Mobile device users use location-based services to access various services with user’s current physical location information. Some of its applications e.g. supply chain verification; It particularly requires an ordering of location proofs. It is a significant challenge in some user based architectures for users to prove their presence and the path of travel along with a privacy-protected and insecure manner. Till now, some schemes for location proofs are generally are not resistant to factors such as tampering, collusion attacks also they do not preserve the provenance. They are not that much flexible for users to prove their provenance of location proofs. In this paper, we present a ready-to-deploy framework for generating and validating witness-oriented asserted location provenance records. This framework is based on the asserted location proof (ALP) protocol for generating secure location provenance on the android devices. This framework allows user-centric, collusion resistant, tamper-evident, privacy protected, verifiable, and provenance preserving location proofs for android devices.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Sudarshan B. Banote, Mahesh S. Barwat, Kaustubh D. Jagtap, Akshay B. Shekade, and Prof. M. R. Kharade. "LOCOPRO - The Location Provenance System" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 3 2017 Page 407-410
MLA Sudarshan B. Banote, Mahesh S. Barwat, Kaustubh D. Jagtap, Akshay B. Shekade, and Prof. M. R. Kharade. "LOCOPRO - The Location Provenance System." International Journal Of Advance Research And Innovative Ideas In Education 3.3(2017) : 407-410.
APA Sudarshan B. Banote, Mahesh S. Barwat, Kaustubh D. Jagtap, Akshay B. Shekade, & Prof. M. R. Kharade. (2017). LOCOPRO - The Location Provenance System. International Journal Of Advance Research And Innovative Ideas In Education, 3(3), 407-410.
Chicago Sudarshan B. Banote, Mahesh S. Barwat, Kaustubh D. Jagtap, Akshay B. Shekade, and Prof. M. R. Kharade. "LOCOPRO - The Location Provenance System." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 3 (2017) : 407-410.
Oxford Sudarshan B. Banote, Mahesh S. Barwat, Kaustubh D. Jagtap, Akshay B. Shekade, and Prof. M. R. Kharade. 'LOCOPRO - The Location Provenance System', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, 2017, p. 407-410. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/LOCOPRO___The_Location_Provenance_System_ijariie5106.pdf (Accessed : 18 May 2017).
Harvard Sudarshan B. Banote, Mahesh S. Barwat, Kaustubh D. Jagtap, Akshay B. Shekade, and Prof. M. R. Kharade. (2017) 'LOCOPRO - The Location Provenance System', International Journal Of Advance Research And Innovative Ideas In Education, 3(3), pp. 407-410IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/LOCOPRO___The_Location_Provenance_System_ijariie5106.pdf (Accessed : 18 May 2017)
IEEE Sudarshan B. Banote, Mahesh S. Barwat, Kaustubh D. Jagtap, Akshay B. Shekade, and Prof. M. R. Kharade, "LOCOPRO - The Location Provenance System," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, pp. 407-410, May-Jun 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/LOCOPRO___The_Location_Provenance_System_ijariie5106.pdf [Accessed : 18 May 2017].
Turabian Sudarshan B. Banote, Mahesh S. Barwat, Kaustubh D. Jagtap, Akshay B. Shekade, and Prof. M. R. Kharade. "LOCOPRO - The Location Provenance System." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 3 (18 May 2017).
Vancouver Sudarshan B. Banote, Mahesh S. Barwat, Kaustubh D. Jagtap, Akshay B. Shekade, and Prof. M. R. Kharade. LOCOPRO - The Location Provenance System. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 18 May 2017]; 3(3) : 407-410. Available from: https://ijariie.com/AdminUploadPdf/LOCOPRO___The_Location_Provenance_System_ijariie5106.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/18/2017 9:40:02 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12