Survey on Secure Data Self-Destruct Scheme & Division and Replication of data on cloud

March 2017
Vol-3, Issue-2
Paper ID: 4352
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Fine grained data loss prevention KP-TSABE DROPS Time-Based One Time Password (TOTP) security.
Abstract
There is always a risk of unauthorized users accessing the private data. Fine grained data loss prevention policies helps to manage what get stored in the cloud, how it gets stored and what stays on-premises. In this paper, we proposed using KP-TSABE (Key Policy-Time Specified Attribute Based Encryption) scheme for securely self-destructing data and DROPS (Division and Replication of data in cloud for Optimal Performance and Security) for secure storage in cloud.KP-TSABE policy used in this model is superior to other present schemes. DROPS scheme allows the data to be fragmented which are stored in the nodes separated by some distance by using graph T-coloring method for preventing data breach. Also we propose Time-Based One Time Password (OTP) for authentication of legitimate user and SHA-2 hash function for data integrity check. For encryption and decryption we propose modern Advanced Encryption Standard (AES) algorithm. Using all these levels of security slight overhead was observed in the performance of the system. By using high security techniques we aim to secure data within the cloud ecosystem.

Author Information

# Name Institute / Affiliation
1 Navanath Bhosale Pimpri Chinchwad College of Engineering, Pune
2 Sumeet Karn Pimpri Chinchwad College of Engineering, Pune
3 Sunil Moosad Pimpri Chinchwad College of Engineering, Pune
4 Mayur Pare Pimpri Chinchwad College of Engineering, Pune
5 Rajesh Lomte Pimpri Chinchwad College of Engineering, Pune

How to Cite

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

APA Style
Bhosale, Navanath, Karn, Sumeet, Moosad, Sunil, Pare, Mayur, & Lomte, Rajesh (2017). Survey on Secure Data Self-Destruct Scheme & Division and Replication of data on cloud. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 3166-3170.
MLA Style
Bhosale, Navanath, et al. "Survey on Secure Data Self-Destruct Scheme & Division and Replication of data on cloud." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 3166-3170.
IEEE Style
Navanath Bhosale, Sumeet Karn, Sunil Moosad, Mayur Pare, and Rajesh Lomte, "Survey on Secure Data Self-Destruct Scheme & Division and Replication of data on cloud," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 3166-3170, 2017.
Vancouver Style
Bhosale Navanath, Karn Sumeet, Moosad Sunil, Pare Mayur, Lomte Rajesh. Survey on Secure Data Self-Destruct Scheme & Division and Replication of data on cloud. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):3166-3170.
Harvard Style
Bhosale, Navanath, Karn, Sumeet, Moosad, Sunil, Pare, Mayur, & Lomte, Rajesh (2017) 'Survey on Secure Data Self-Destruct Scheme & Division and Replication of data on cloud', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 3166-3170.
Chicago Style
Bhosale, Navanath, et al. "Survey on Secure Data Self-Destruct Scheme & Division and Replication of data on cloud." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3166-3170.
Turabian Style
Bhosale, Navanath, et al. "Survey on Secure Data Self-Destruct Scheme & Division and Replication of data on cloud." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 3166-3170.

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