Hadoop Framework for Big Data Analytics to Analyze Attacks on Business Data
Siva Sankara Reddy Donthi Reddy1, Udaya Kumar Ramanadham2
1Siva Sankara Reddy Donthi Reddy*, PhD Scholar, Department of CSE, Bharath Institute of Higher Education and Research (BIHER), Chennai, Tamil Nadu, India.
2Udaya Kumar Ramanadham, Professor, Department of Information Technology, Bharath Institute of Higher Education and Research (BIHER), Chennai, Tamil Nadu, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on 22 November, 2019. | Manuscript published on December 10, 2019. | PP: 3995-4000 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7410129219/2019©BEIESP | DOI: 10.35940/ijitee.B7410.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big Data consist large volumes of data sets with various formats i.e., structured, unstructured and semi structured. Big Data requires security because day by day attackers attack on it in different manner. Big Data Security Analytics analyses Big Data for finding various threats and complex attacks. By increasing the number of targeting attacks on data and one side rapid growing of data, it is too difficult to analyze accurately. The Security Analytics Systems are used the untrusted data. So, strong security analytical tools are required to analyze the data. The organizations and industries exchange the data through networks dynamically, so this may become more vulnerable for data misusing and theft. Attackers are more advanced in the attacking on data that the existing security mechanisms are not identified before damaging. At present, the collecting and analyzing various attacks is major challenging task for Security Analytics Systems, to take suitable decision. In this research paper, we have addressed about Hadoop tool that how it analyses Big Data and how Big Data Security Analytics is applied to analyze the various threats and securing the business data more accurately.
Keywords: Big Data, Hadoop, MapReduce, Big Data Security Analytics, Threats.
Scope of the Article: Big Data Analytics