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Review: An evaluation of major threats in cloud computing associated with big data

conference contribution
posted on 2024-11-03, 15:13 authored by Kamalpreet Kaur, Ali Syed, Azeem Mohammad, Malka N HalgamugeMalka N Halgamuge
In today's corporate society, the productivity, stability, and management of an organization relies upon the power of databases. Most organizations outsource their databases in the form of big data and then transfer it into cloud. Although cloud computing technology brings many benefits for an organization, their security risk factor still remains as a big barrier for its wide-spread adoption. Therefore, this problem poses a critical question such as: Is information secure in cloud? Due to this uncertainty, the primary aim of this study is to describe and identify most vulnerable aspects of security threats in cloud environment through content analysis and highlight and evaluate gaps in the literature to draw scholarly attention. This paper analyzed content to source data that helps to identify gaps in the literature. These gaps then have been identified and evaluated to answer questions with possible solutions. This research will help both vendors and users about security issues that have been heightened with recent population advancements and demands that have been pointed out for improvement. This study has reviewed literature in the field over the sp an of six years, and endeavors to seek answers for the question and cast solutions through thorough evaluation and analysis: the security related issues in cloud computing associated with big data must be taking into account by security practitioners when assessing the needs of service providers. This study has found that cloud environment is an innovation, and the blend of parallel computing and cloud computing can offer various advantages. It is ideal for different kinds of applications that can suit different needs if expenses of application modifications consolidate the cost of setup and maintenance of cloud computing. This study has analyzed content and has also found that management solution of only one big secure data after integrating it with cloud needs yet to be designed.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/ICBDA.2017.8078842
  2. 2.
    ISBN - Is published in 9781509036196 (urn:isbn:9781509036196)

Start page

368

End page

372

Total pages

5

Outlet

Proceedings of the 2nd IEEE International Conference on Big Data Analysis

Name of conference

2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)

Publisher

IEEE

Place published

United States of America

Start date

2017-12-10

End date

2017-12-12

Language

English

Former Identifier

2006117602

Esploro creation date

2023-10-21

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