Enhanced Security for Data Sharing in Multi Cloud Storage (SDSMC)
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 3
Abstract
Multiple Cloud storage has become one of the essential services of cloud computing. This Multi-Cloud storage models allow users to store sliced encrypted data in various cloud drives. Thus, it provides support for various cloud storage services using the single interface rather than using single cloud storage services. Cloud security goal primarily focuses on issues that relate to information privacy and security aspects of cloud computing. This latest data storage service and data moderation prototype focus on malicious insider’s access on stored data, protection from malicious files, removal of centralized distribution of data storage and removal of outdated files or downloaded files frequently. Data owner does not necessarily need to worry about the future of the data stored in the Multi-Cloud server may be extracted or depraved. The other is ingress control of data. The proposed method ensures the file or data cannot get access without the knowledge or permission of the owner. Thus, this research aims at offering an architecture which reduces malicious insiders and file threats with an algorithm that improves data sharing security in Multi- Cloud storage services. This technique will offer a secure environment whereby the data owner can store and retrieve data from Multi-Cloud Environment without file merging conflicts and prevents insider attacks to obtain a meaningful information. The experimental results indicate that the suggested model is suitable for decision making process for the data owners in the better adoption of multi-cloud storage service for sharing their information securely.
Authors and Affiliations
K. Subramanian F. Leo John
Keywords
Related Articles
- EP ID EP249834
- DOI 10.14569/IJACSA.2017.080326
- Views 92
- Downloads 0
Text Clustering using Ensemble Clustering Technique
Clustering is being used in different fields of research, including data mining, taxonomy, document retrieval, image segmentation, pattern classification. Text clustering is a technique through which text/ documents are...
Analysis Method of Traffic Congestion Degree Based on Spatio-Temporal Simulation
The purpose of this research is to design and implement a road traffic congestion and traffic patterns simulation (TPS) model and integrate it with extension-information model (EIM). The problems of road traffic si...
Distance Prediction for Commercial Serial Crime Cases Using Time Delay Neural Networks
The prediction of the next serial criminal time is important in the field of criminology for preventing the recurring actions of serial criminals. In the associated dynamic systems, one of the main sources of instability...
GUI Database for the Equipment Store of the Department of Geomatic Engineering, KNUST
The geospatial analyst is required to apply art, science, and technology to measure relative positions of natural and man-made features above or beneath the earth’s surface, and to present this information either g...
A study on classification of EEG Data using the Filters
In the field of data mining, classification of data is being a difficult task for further analysis. Classifying the EEG data would require more efficient algorithms. In this paper the classification filters such a...