Security Issues Of Big Data Hadoop
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Security, Privacy, and Forensics Issues in Big Data
With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.
Privacy and Security Issues in Big Data
This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business.
Security Issues of Big Data Hadoop
Scientific Essay from the year 2018 in the subject Computer Science - IT-Security, grade: 2, , language: English, abstract: In this we discuss security issues for big data Hadoop environment. Big data applications are a great benefit to organization, business and in many small and large scale industries. Security and privacy issues are magnified by velocity, variety and volume of big data. Hadoop projects security as top agenda which in turn represents classified as critical term. With the increasing acceptance of Hadoop, there is increasing trend to create a vast security feature. Therefore a traditional security mechanism, which are tailored to securing a small scale static data are in adequate. The important issues relating to Hadoop are authentication, authorization, editing and encryption within a cluster. In this paper we have highlighted different security aspects of big data Hadoop.