International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 18 |
Year of Publication: 2022 |
Authors: Parashiva Murthy B.M., Sumithra Devi K.A. |
10.5120/ijca2022922198 |
Parashiva Murthy B.M., Sumithra Devi K.A. . An Efficient Security for Unstructured Big Data using a Reconfigurable Security Suite. International Journal of Computer Applications. 184, 18 ( Jun 2022), 42-46. DOI=10.5120/ijca2022922198
The unstructured data security is enhanced using a reconfigurable security suite (RSS). The data node security is improved by seeing categories of data & their levels of sensitivity. The efficiency of the system performance is improved by using classification of data on par with the sensitivity levels. Methods: Adequate security is provided to the unstructured data by bearing in mind the various data nodes & their sensitivity. The proposed reconfigurable security suite effectively classifies the data nodes further into adequate security nodes and also enhances the security system overhead. Finding: performance analysis has been carried out on different data types by considering any one of the parameters in common like service code and sensitive code in different algorithms. The proposed reconfigurable security suite is developed by analysis performance of oracle Exadata and Apache mahout on sensitive, confidential and public data. Novelty: the reconfigurable security suite provides the different types of security services, which include each class of data standards and algorithms. The proposed security suite is developed by considering the mean value of sensitive, confidential and public data nodes etc to identify the security suite overhead.