Big Data Security Challenges and Solutions: A Literature Review

Desklib provides past papers and solved assignments for students. This report analyzes big data security challenges.

Table of Contents
Interim Research Proposal:...................................................................................................................2
Article #1...........................................................................................................................................2
Article #2...........................................................................................................................................2
Article #3...........................................................................................................................................2
Article #4...........................................................................................................................................2
Synthesis Matrix:...................................................................................................................................3
References:............................................................................................................................................4

Interim Research Proposal:
Article #1
According to Gunasekaran Manogarana, Chandu Thotab, M. Vijay Kumar (2016), Methods like
encryption, honeypot detection and logging are obligatory to secure big data whereas Protection of
big data from advanced threats of malicious intruders, less awareness at data hacking and auditing
in public clouds and also, handling responsibility to inexperienced staff with full control and visibility
to big-confidential data are main security challenges in this sector.
Article #2
According to Uthayasankar Sivarajah, Muhammad Mustafa Kamal, Zahir Irani, Vishanth Weerakkody
(2017), The challenges in Big data security are the distributive nature of big data which is on one side
sophisticated but also pregnable to hack or attack and also, scarcity of appropriate security controls,
sophisticated infrastructure to ensure data integrity, accessibility, confidentiality, accountability and
security when the data becomes ubiquitary.
Article #3
According to Xiaolong Jin, Benjamin W. Wah, Xueqi Cheng, Yuanzhuo Wang (2015), Challenges are
like formation difference of processing system at lower and higher levels and difficulties in scientific
researches that are caused by the features of big-data, by limitations of data processing systems and
analysis methods and models.
Article #4
According to Miss. Debalina Nandy, Mr. Renish J Padariya, Miss Tosal Bhalodia, (2017), Big-data
programming tools are the most common problem of data security which comprises Hadoop and
NoSQL databases and also, the distributive structure is easy to hack or attach by malicious intruders.

Synthesis Matrix:
Article: Main Idea A Main Idea B
Article #1 Meta Cloud Data Storage in
Cloud, Security Architecture.
MapReduce framework for
processing log files in
distributed cloud data centres
Article #2 Predictive analysis: forecasting
and statistical modelling to
determine future possibilities
prescriptive analytics:
randomized and optimized
testing.
Article #3 Principles for testing,
designing, implementing, and
optimizing big data processing
systems
Use of Domain oriented big
data processing methods.
Article #4 Performed Big-data security
management analysis.
Performed Identify and access
management (IAM) analysis
and Fraud detection and
prevention.

References:
Nandy, D., Padariya, R., & Bhalodia, T. (2017). Security Challenges in Big Data.
Manogaran, G., Thota, C., & Kumar, M. V. (2016). MetaCloudDataStorage architecture for big data
security in cloud computing. Procedia Computer Science, 87, 128-133.
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of Big Data challenges
and analytical methods. Journal of Business Research, 70, 263-286.
Jin, X., Wah, B. W., Cheng, X., & Wang, Y. (2015). Significance and challenges of big data research. Big
Data Research, 2(2), 59-64.