AN Optimal Matrix Approach for virtual load allocation and data sharing
| Author(s) | : | Lavleet Kaur, Atul Shrivastava |
| Institution | : | Department of Computer Science and Engineering , SIRTE, Bhopal, India |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 616-621 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Distributed technology which means to the cloud is commonly used service today for many industries as wellas personal level. Users are utilizing the cloud service, its model for reliable and secure storage for their data. All thecloud service provider gives inbuild algorithms, which help in providing data security, integrity verification as well asease of access utility. Different level of security and accessing mechanism for the range of user is provided. Cloudcomputing having an architecture which gives an advantage than the tradition approach. Previous approach of securityover the cloud face challenging issues such as high computation time, low level of encryption key in use. This approachlacks in modern attack defense which usually occurs over the network. In order to prevent these attack and data misusean efficient storage, security and accessing mechanism over the data storage is required. In this paper a proposed for thedata security algorithm and access mechanism for the user data is given. This paper also depicts the implementation ofalgorithm, its proper working model as well as the efficiency of algorithm. The proposed algorithm is implemented andcompared with traditional security techniques. Results were observed by giving multiple user input files. Monitoredresults shows the low computation time, cost as well as high resistance over the input file attacks.Our further work is going to run towards finding its real time application usage and providing an open source platformfor the user for public use.
Lavleet Kaur, Atul Shrivastava, “AN Optimal Matrix Approach for virtual load allocation and data sharing”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 616-621, February 2018.








