Attributed Users for Anonymous Authentication in Cloud Data-storage using Google Cloud Platform

May 2016
Vol-2, Issue-3
Paper ID: 2551
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering ,Cloud Computing
Keywords
Cloud Computing Google Cloud Platform Attributed Users Attributed based Signature Access control Authentication Attribute-based signatures Attribute based encryption Distributed Cloud storage Decryption File Encryption Role Based Access.
Abstract
In this current interconnected world where so much data is being transferred it has given rise to Cloud Computing and BigData Technologies.This has also alerted the need of user security and their privacy.The paper proposes a new decentralized access control scheme for secure data storage in clouds that supports anonymous authentication to registered users. In this scheme the cloud verifies the authenticity of the user without knowing the user’s identity before storing data. Cloud database has no idea of what data is been stored. This scheme also has the added feature of access control in which only valid users are able to decrypt the stored information also allowing user to share their stored data with other people. The scheme supports creation and reading the data stored in the Cloud. The technology also allows administrator to revoke user rights of usage and deleting complete user data during cyber emergencies The data when stored on Cloud is divided and stored on multiple databases of which location is unknown . Cloud does the part of storing and retrieving data without knowledge of its contents.

Author Information

# Name Institute / Affiliation
1 Mandar Bhosale SKNSITS Lonavala
2 Karan Dahima SKNSITS Lonavala
3 Madhav Sharma SKNSITS Lonavala
4 Darshan Devrai SKNSITS Lonavala

How to Cite

Use the following formats to cite this article in your research.

APA Style
Bhosale, Mandar, Dahima, Karan, Sharma, Madhav, & Devrai, Darshan (2016). Attributed Users for Anonymous Authentication in Cloud Data-storage using Google Cloud Platform. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 3084-3087.
MLA Style
Bhosale, Mandar, et al. "Attributed Users for Anonymous Authentication in Cloud Data-storage using Google Cloud Platform." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 3084-3087.
IEEE Style
Mandar Bhosale, Karan Dahima, Madhav Sharma, and Darshan Devrai, "Attributed Users for Anonymous Authentication in Cloud Data-storage using Google Cloud Platform," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 3084-3087, 2016.
Vancouver Style
Bhosale Mandar, Dahima Karan, Sharma Madhav, Devrai Darshan. Attributed Users for Anonymous Authentication in Cloud Data-storage using Google Cloud Platform. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):3084-3087.
Harvard Style
Bhosale, Mandar, Dahima, Karan, Sharma, Madhav, & Devrai, Darshan (2016) 'Attributed Users for Anonymous Authentication in Cloud Data-storage using Google Cloud Platform', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 3084-3087.
Chicago Style
Bhosale, Mandar, et al. "Attributed Users for Anonymous Authentication in Cloud Data-storage using Google Cloud Platform." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3084-3087.
Turabian Style
Bhosale, Mandar, et al. "Attributed Users for Anonymous Authentication in Cloud Data-storage using Google Cloud Platform." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3084-3087.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable