Efficient Data Integrity and Auditing in Cloud by using Block Chain
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 4
Abstract
The main aim of this paper is to discuss the usage of cloud storage services, enabling individuals to store their information in the cloud and keep away from the local data storage and maintenance expense. Numerous data integrity auditing systems have been implemented to guarantee the quality of the data stored in the cloud. An individual would like to enroll his private key to create the authenticators for understanding the auditing of data integrity in certain, but not all of the current system. The user must then have a hardware token (e.g. USB token, smart card) for storing the private key and memorizing a password to trigger the private key. Most of the new data integrity auditing system will be unable to operate if the user misplaced this hardware token or forgot this password. We are proposing a new module called data integrity auditing without private key storage to solve this issue, and developing such a scheme using block chain technology. In this project we are proposing a computerized signature along with face reorganization with block chain operation, so that there will be no unique design to obtain unauthorized and furthermore to prevent hacking operation and all the respective user data or information will be stored in cloud with maximum security.
Authors and Affiliations
Prof Chethan Raj C, Shivani M S, Sowjanya D R, Sowmya M T, Tejaswini D R
Keywords
Related Articles
- EP ID EP747775
- DOI 10.21276/ijircst.2020.8.4.9
- Views 64
- Downloads 0
Measurement and Implementation of Patient Satisfaction in the Healthcare Industry: Part 2
Increasingly knowledgeable consumers, with rising demands to have information available for them to make appropriate health care decisions, have driven healthcare managers and administrators to focus on an improvement of...
Research on Real-time Multilingual Transcription and Minutes Generation for Video Conferences Based on Large Language Models
This scholarly inquiry examines the utilization of the Hybrid Grey Wolf Optimization Algorithm (HGWOA) in addressing the Job Shop Scheduling Problem (JSSP), a combinatorial optimization problem commonly encountered withi...
Comparison in Java and Python: A Review Paper
Computing and computing are all about us, and they're only going to becoming more popular. Learning to programme is one approach to get a job in the IT field. Choosing a beginner-friendly programming language is a vital...
The Variational Methods for Solving Random Models
This paper studies the solutions of variational methods for random ordinary (partial) dierential equations in L2−space. These methods are called Galerkin method, Petrov-Galerkin method, Least-Squares method and Collocati...
Assessing the Impact of International Personnel on Local Community Dynamics
This research investigates the multifaceted impact of international personnel on local communities in Greater Noida, India, exploring socio-economic, cultural, and integrative dynamics through empirical data collected fr...