Hemapriya D.,Veltech Drrr Drsr Technical University |
Deepan S.,Veltech Drrr Drsr Technical University |
Durairaj K.,Veltech Drrr Drsr Technical University |
Hariharan R.,Veltech Drrr Drsr Technical University
International Journal of Applied Engineering Research | Year: 2015
There are many data parallel computing frameworks such as Map Reduce and Hadoop to run data intensive applications but they exhibit interest locality which only sweep part of a big data set. In this paper, the enhancing of this data grouping with Bigdata distributed database is done which uses Index- Based Clustering of database and indexes all the clusters from different locations. It achieves anonymity with database by avoiding individual details towards traversing data. It sends only the necessary data rather than sending their personal details. It uses Admin system which has research pattern rights thus helps in authentication and trust for data before updating to the main database.It uses Hibernation which hits the database once in every time each set of process from login till log out. Each set of process will be stored as a object and hits the main database only once when complete set of work completed. Local system should have encrypted data so that nobody can get any individuals database. It uses database filter Ultimate Filter From Attacks (UFFA) for avoiding database attacks. © Research India Publications.