Exploiting Flaws in Big Data Systems
Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.15, No. 8)Publication Date: 2016-05-19
Authors : Michael Brown; Paolina Centonze;
Page : 6967-6975
Keywords : Big Data; Data Lake; Cloud Computing; Hadoop API; RESTful cluster; Hortonworks; Apache; Ambari; Perimeter Security; Authentication Security. Kali Linux; DDoS; Brute Force.;
Abstract
This journal discusses the relevant security threats, vulnerabilities and prominent techniques to securing data lake [39]. Over the last few years, Big Data solutions to data processing have made remarkable strides in the how data is interpreted. Because of its ubiquitous nature and ability to handle various data types, it has become a valuable tool and asset to many other fields including bioinformatics solutions, marketing solutions, and social media. Ethical infractions also play a role in data processing and because of this, it is critical that comprehensive security solutions are determined and enforced under the appropriate conditions. Although modern security techniques are well developed, they still leave room for scrutiny as vulnerabilities continue to unfold.? In this paper is the examination and comparison of modern ethical exploit techniques as well ass techniques to promote greater authentication and overall perimeter security. The scrutinization of the current methods met through exploitation, be it physical or conceptive, is imperative in defining the understanding and verification of definite secure solutions.
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Last modified: 2016-06-29 15:09:30