Abstract

In this paper, we discuss security issues for cloud computing, Big data, Map Reduce and Hadoop environment. The main focus is on security issues in cloud computing that are associated with big data. Big data applications are a great benefit to organizations, business, companies and many large scale and small scale industries.We also discuss various possible solutions for the issues in cloud computing security and Hadoop. Cloud computing security is developing at a rapid pace which includes computer security, network security, information security, and data privacy. Cloud computing plays a very vital role in protecting data, applications and the related infrastructure with the help of policies, technologies, controls, and big data tools . Moreover, cloud computing, big data and its applications, advantages are likely to represent the most promising new frontiers in science.

Highlights

  • In order to analyze complex data and to identify patterns it is very important to securely store, manage and share large amounts of complex data.Cloud comes with an explicit security challenge, i.e. the data owner might not have any control of where the data is placed

  • The reason behind this control issue is that if one wants to get the benefits of cloud computing, he/she must utilize the allocation of resources and the scheduling given by the controls

  • The big data application refers to the large scale distributed applications which usually work with large data sets

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Summary

INTRODUCTION

In order to analyze complex data and to identify patterns it is very important to securely store, manage and share large amounts of complex data.Cloud comes with an explicit security challenge, i.e. the data owner might not have any control of where the data is placed. The reason behind this control issue is that if one wants to get the benefits of cloud computing, he/she must utilize the allocation of resources and the scheduling given by the controls. Cloud Computing uses networks of a large group of servers with specialized connections to distribute data processing among the servers. When making an attempt to understand the concept of Big Data, the words such as “Map Reduce” and “Hadoop” cannot be avoided

Hadoop
Map Reduce
Big data applications
Big data advantages
Need of security in big data
Motivation
Related Work
ISSUES AND CHALLENGES
Distributed Nodes
Distributed Data
Internode Communication
Logging
Traditional Security Tools
Use of Different Technologies
THE PROPOSED APPROACHES
CONCLUSION
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