University Big Data Report: Security Issues and Recommendations

This report provides a comprehensive overview of the security issues prevalent in big data analytics. It identifies key challenges such as data management complexities, cloud computing vulnerabilities, and the potential for data breaches and data loss. The report delves into specific issues, including network-level security, authentication, and data integrity, referencing relevant research and journal articles. It highlights the impact of cloud computing and social media on data generation and storage, emphasizing the need for robust security measures. Furthermore, the report proposes a data security model, incorporating the RSA algorithm for encryption, and offers recommendations to mitigate security risks and threats. The analysis covers various aspects of big data security, from data access and storage to data visualization and the challenges posed by distributed data environments. The report underscores the critical need for organizations to address these issues to protect their data assets effectively. This report is available on Desklib, a platform offering past papers and solved assignments for students.

Running head: BIG DATA
Big Data
Name of the student
Name of the University
Author’s Note

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Table of Contents
Abstract............................................................................................................................................3
Introduction......................................................................................................................................4
Problem Overview...........................................................................................................................6
Application of tech......................................................................................................................6
About technology.........................................................................................................................6
Research issues............................................................................................................................6
Related works................................................................................................................................10
Proposed methodology..................................................................................................................13
Experimental Analysis...................................................................................................................17
Conclusion.....................................................................................................................................26
Recommendations..........................................................................................................................27
References......................................................................................................................................29

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Abstract
This report discusses the issues in Big Data Analytics. Various issues have been
identified in the report related to big data analytics. The data management has been an issue in
the big data analytics. The huge amount of data information has been stored in the database of
the organization. The use different management strategies have been discussed in the report.
The use of security algorithms has been discussed in the report. These algorithms have been
managing and minimizing security of data and information in the organization. Therefore,
managing such huge amount of data has been a difficult task for the system. Therefore, this has
been creating a problem in big data analytics. The journals have been taken related to the issues
in the hug data.
A proper methodology has been discussed in the report. A data security model has been
proposed in the report that might help in minimizing the data loss in the organization. This
security model might help in maintaining a proper IT architecture in the organization. The RSA
algorithm has helped in maintaining encryption technology in big data. The use of the RSA
algorithm has been helping in minimizing the risks and threats involving in the data transfer.
There are some recommendations discussed in the report that might help in mitigating security
issues in big data.

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Introduction
Data and information have been the most important assets for the company in the market.
Data can be used in different field that might help in maintaining the growth of the company.
Data are important orders to carry out daily activities in an organization. Data can be collected
from various sources that are available for the company in the market. The storage of data and
information has been a huge problem for the companies in the market. There are the huge
amount of data in company related to their daily activities and the growth of the company in last
years. Therefore, such a huge amount of data and information can be managed by use of the
concept of Big Data Analytics. This concept helps in the data management in the companies.
The database of the company can be handled by big data analytics. The huge usage of the
internet has increased the amount of data and information in the companies. The use of big data
has been maintaining data storage of the companies in the database. However, with all the
benefits of big data, there are various privacy and security issues prevailing in the big data
concept.
These issues have been prevailing in big data concept and creating problems for the
security of data and information in the companies. However, According to a report by
International Data Corporation (IDC), a research company claims that between 2012 and 2020,
the amount of information in the digital universe will grow by 35 trillion gigabytes. The
emergence of cloud computing and social media have increased sources of data and information
in the market. As of December 2015, Facebook has an average of 1.04 billion daily active users,
934 million mobile daily active users, available in 70 languages, 205 billion photos uploaded
every day 30 billion pieces of content, 2.7 billion likes, and comments are being posted and 130
average number of friends per Facebook user.

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This report identifies the issues prevailing in the data implementation in the companies.
This report has focused on the security and privacy issues in big data is creating the major
problem in the companies. The data breach and data loss have been described in the report. This
report outlines about six major big data issues in the market. Twelve journals have been
properly analyzed in order to analysis these issues related to big data. Recent works in these
issues have been discussed in the next part. The use of proper methodology for minimizing the
issues in big data have been provided in a report. These methodologies might help in
maintaining and monitoring the issues in big data. The use of various algorithms and coding for
mitigating these issues have been provided in the report. There are some recommendations
provide in the report that might help in minimizing threats and security issues in big data
analytics.

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Problem Overview
There are various security issues in big data analytics. However, six major security issues have
been discussed below:
Issue 1- Inukollu, V. N., Arsi, S., & Ravuri, S. R. (2014). Security issues associated with big data
in cloud computing. International Journal of Network Security & Its Applications, 6(3), 45.
Application of tech
This journal describes security issues in big data related to the cloud computing. The
main focus of the paper is on security and privacy issues in cloud computing using big data
concept. Cloud computing has been suffering from cyber-attacks and online threats including
virus attacks and malicious intruders.
About technology
Big data is stored in the online database of the cloud computing that helps in minimizing
the complexity of hardware database of storing such a huge amount of data and information.
Data privacy has an important concern for the companies in the market. Several private data of
the companies are stored in the cloud storage services.
Research issues
The challenges are categorized into several categories including network level,
authentication level, data level and generic types. In network level, the security of the data with
the intrusion in the network connectivity and communication. The authentication methods in the
including administrative rights and authentication of applications.

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Che, D., Safran, M., & Peng, Z. (2013, April). From big data to big data mining: challenges,
issues, and opportunities. In International Conference on Database Systems for Advanced
Applications (pp. 1-15). Springer, Berlin, Heidelberg.
Application of tech
This paper discusses security challenges in big data mining and relation with the cloud.
The use of the cloud computing for maintaining the data storage and others services provided to
the company.
About technology
Big data has been a crucial part of the cloud computing for storage purpose of big data
over the internet. Therefore, there are several security issues discussed in the paper. Data
Overwrite has been one of the major problems in the cloud services.
Research issues
Data and information stored over the internet might be overwritten during the write
mode. This might create problems for the companies and users of the cloud. In the data levels, it
deals with the data integrity and availability including logging and nodes. The generic security
types have been related to the in general security issues about the data loss and integrity.
Issue 2- Kaisler, S., Armour, F., Espinosa, J. A., & Money, W. (2013, January). Big data: Issues
and challenges moving forward. In System Sciences (HICSS), 2013 46th Hawaii international
conference on (pp. 995-1004). IEEE.
Application of tech

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This paper deals with management issue of big data in a database. There is a huge
amount of data and information stored in the database. Therefore, management of the data and
information needs to be managed in the proper manner. This creates the problem for the data
base administrator to manage such a huge amount of big data.
About technology
In many cases, data and information are jumbled up and overwrite occurs. Data can be
breached during the transfer of data from sender to receiver that involves distributed data,
distributed nodes and internode communication.
Research issues
As the authentication level, the security of the data deals with the encryption and
decryption of data and information at both sender and receiver ends. This creates wrong
information for a particular data and information. This has been a major issue discussed in this
paper.
Kitchin, R. (2013). Big data and human geography: Opportunities, challenges and risks.
Dialogues in human geography, 3(3), 262-267.
Application of technology
This paper deals with the challenges in big data related to geographical intent. Data
collected from various places on the environment varies with their quality and size. Social media
data collection has been a major source of data and information.
About Technology

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Millions of data and information are stored in the data base of big data analysis that
creates a major issue. The severity protocol for big data analytics can be hacked or attacked in
order to intrude into the data base of big data.
Research Issues
This creates a huge amount of problems s all the data and infestation related to the
different companies and users can be leaked in the market. This might create a huge financial
loss to users and companies in the market.
Issue 3- Katal, A., Wazid, M., & Goudar, R. H. (2013, August). Big data: issues, challenges,
tools and good practices. In Contemporary Computing (IC3), 2013 Sixth International
Conference on (pp. 404-409). IEEE.
Application of technology
This paper describes the data access issues in big data databases. In several cases, the
access of the data from databases becomes difficult for making a proper decision in the system.
Data needs to be store properly in the database. Therefore, in case the database is failed or
damaged, access to the database become difficult for the users.
About technology
Data privacy has an important concern for the companies in the market. Several private
data of the companies are stored in the cloud storage services. The challenges are categorized
into several categories including network level, authentication level, data level and generic types.
Research issues

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Sharing of data from one party to another might create problems in big data as cyber-
attacks can happen during the data transfer. Therefore, sharing data and information about the
organization threatens the environment if the organization.
Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and
technologies: A survey on Big Data. Information Sciences, 275, 314-347.
This paper deals with the storage issues faced by big data. In some cases, storage might
be available for the huge amount of data and information in a database. Data management
problem has been the main problem for big data analysis for the system. The use of big data has
been initiated in a market that needs to be maintained and managed properly. Therefore, storing
such a huge amount of data and information.
Issue 4- Demchenko, Y., Grosso, P., De Laat, C., & Membrey, P. (2013, May). Addressing big
data issues in scientific data infrastructure. In Collaboration Technologies and Systems (CTS),
2013 International Conference on (pp. 48-55). IEEE.
Application of technology
This paper discusses data visualization in big data. This paper focused on the scientific
data lifecycle management as this is an important part of maintaining different big data in a
database. Big data science helps in maintaining clear indication in the storage of the data and
information.
About technology

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The use of big data aims the science has helped in providing several duty of the team in
order to maintain the data base if the scientific data. Therefore, in the case of the working
implementation of the database analysis.
Research Issue
The scientific data might get vanished or corrupted in the database. This might create a
major problem in the organization in order to maintain a proper database for a company.
Sagiroglu, S., &Sinanc, D. (2013, May). Big data: A review. In Collaboration Technologies and
Systems (CTS), 2013 International Conference on (pp. 42-47). IEEE.
This paper has made a statement of the security issues that arise from the implementation
of big data in approaches. There is an importance in maintaining the use of big data in databases.
Due to this, the data can be monitored, collected and stored in their own personal records and can
be used. However, there are various requirements that are in place due to this which presents
many security issues in it. This is of increasing concern to the implementers of big data processes
in their technologies such that they can address the issues available with big data
implementations.
Issue 5-Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015).
The rise of “big data” on cloud computing: Review and open research issues. Information
Systems, 47, 98-115.
The use of big data systems is also being used in case of cloud computing systems as
well. As a result, companies are also applying the options for scalability on their cloud
infrastructure. The cloud computing is a technology by which the applications can be hosted on
virtual servers which helps in reducing the need for physical storage spaces. The use of big data

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has been adopted in the cloud-hosted servers such that the information can be applied to the
virtual servers in a quick way. This will help in increasing the effectiveness of the cloud
structures and thus will increase the efficiency of the company involved.
Jagadish, H. V., Gehrke, J., Labrinidis, A., Papakonstantinou, Y., Patel, J. M., Ramakrishnan,
R., & Shahabi, C. (2014). Big data and its technical challenges. Communications of the ACM,
57(7), 86-94.
This paper is mainly concerned with challenges faced by the implementation of big data
tools. These issues are the mainly the security breaches. As companies now have access to a
wide range of information pertaining to their requirements, the need to secure the information is
also to be considered. As a result, the hackers are targeting companies with data. This causes the
companies to get a pre-requisite for security policies. This paper is worried about the utilization
of enormous information and its applications which can help in the utilization of different related
assets with the goal that it can exceed expectations in their administrations. All the data can be
utilized to produce bits of knowledge on the conduct of the information and in this manner get
important experiences from them
Issue 6-Lee, J., Kao, H. A., & Yang, S. (2014). Service innovation and smart analytics for
industry 4.0 and big data environment. ProcediaCirp, 16, 3-8.
The use of big data in analytics and information is a major breakthrough that has
revolutionized the technology industry. The smart analytics in big data technologies have been
mentioning various interventions in the market. Several private data of the companies are stored
in the cloud storage services. The challenges are categorized into several categories including
network level, authentication level, data level and generic types. Verification of information and