INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Big data as well as other forms of digital resources have become more popular due to technical developments in recent times. Massive volumes of data are produced by big data, which may then be analyzed and put into practice in a wide range of technological and scientific fields. While big data has numerous practical uses, it also presents a number of obstacles in the areas of statistics, administration, and confidentiality and safety that must be overcome to enhance the customer experience. The big data is highly susceptible to increasing attacks and other types of manipulation by malicious users. This is highly problematic as the big data is very large and difficult to maintain and preserve to achieve effective understanding of the data that can be useful in achieving insightful information and knowledge. Improving the security of the big data can also lead to decrease in performance and a considerable delay in the processing of the queries on such data, therefore, there is a need for an ef
Keywords:
Big data, Parallel Computation, Bilinear Pairing, Avalanche effect, Data Mapping
Cite Article:
"Improving big data security and Services", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.1869 - 1873, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306253.pdf
Downloads:
000337353
Publication Details:
Published Paper ID: IJSDR2306253
Registration ID:206857
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 1869 - 1873
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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