ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Integrated Methodology for Big Data Categorizing and Improving Cloud System Data Portability with Security

Journal: International Journal of Trend in Scientific Research and Development (Vol.4, No. 5)

Publication Date:

Authors : ;

Page : 45-51

Keywords : Database; Map reduce; K-Nearest Neighbor (K-NN); Hashing Technique; DNA;

Source : Downloadexternal Find it from : Google Scholarexternal


The grow pattern of cloud information portability prompted malignant information dangers that require utilizing information security procedures. Most cloud framework applications contain significant and classified information, for example, individual, exchange, or well being data. Perils like data could place the cloud structures that clasp these data at big risk. Not with standing, customary security arrangements are not equipped for taking care of the security of huge information versatility. The present security systems are inadequate for huge information because of their deficiency of deciding the information that thought to be ensured or because of their immovable time unpredictability. In this way, the interest for verifying portable enormous information has been expanding quickly to stay away from any potential dangers. This proposes an incorporated procedure to order and verify huge information before executing information versatility, duplication, and investigation. The need of verifying enormous information versatility is controlled by grouping the information as per the hazards way level of their substance into two classes secret and open. It is uncovered that the advanced way of thinking can from a general perspective redesign the cloud frameworks information adaptability. Ashika S | Shrihari M R "Integrated Methodology for Big Data Categorizing & Improving Cloud System Data Portability with Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: Paper Url :

Last modified: 2020-09-08 15:11:43