Big Data Security Concerns

Running head: BIG DATA SECURITY CONCERNS
Big Data Security Concerns
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1BIG DATA SECURITY CONCERNS
Executive summary
The big data like other types of cyber security is a variant. This is also concerned with different
attacks. It has been coming out if various online and offline arenas. In this report, the background of
the big data security is analyzed. It is demonstrated on the various topics as per the 5W model. Apart
from this, the concerns of privacy within the security of big data domain is evaluated. Then, the pros
and cons of the innovation security is discussed. At last, the effective resolutions for securing the big
data are investigated in the study.

2BIG DATA SECURITY CONCERNS
Table of Contents
1. Introduction:......................................................................................................................................3
2. Background of the topic:...................................................................................................................3
2.1. Evaluation of the current topic on the basis of 5Ws:..................................................................4
3. Privacy concerns in Big data security:...............................................................................................6
4. Security concerns Big data security:..................................................................................................7
5. Big data security- Pros and Cons:......................................................................................................9
5.1. Understanding the pros:..............................................................................................................9
5.2. Cons of big data:.......................................................................................................................10
6. Potential Solutions:..........................................................................................................................10
7. Conclusion:......................................................................................................................................11
8. References:......................................................................................................................................12

3BIG DATA SECURITY CONCERNS
1. Introduction:
The “big data security” is a collective term. This is regarding all the measures and tools. This
is used for guarding the analytics and data processes. This involves the theft, attacks and additional
malicious tasks. This can harm and negatively affect that.
Similar to other kinds of cyber security, the variant is also concerned with various attacks.
This has been originating from the offline and online spheres.
In this study, the background is demonstrated. This is evaluated on the topics on the basis of
5Ws. Further, the privacy concerns under the big data securities and the pros and cons of big data
security are evaluated. Lastly, the potential solutions are demonstrated here.
2. Background of the topic:
The term “Big Data” is been coined for describing the massive amount of semi-structures and
unstructured data. This has been including the three properties. This has involved the velocity,
variety and volume that is considered as the example. Here, this involves the quantity of data,
varieties or the complicacy of numerous data types. The velocity involves the data in motion. This
involves the rise in data produced and this data is defined as the “Big Data” (Zhang, 2018). The big
data architecture has been distributive in nature. This scales to thousands of information and the
nodes of processing. All the nodes, the information is partitioned, distributed and replicated for
powerful computation. This is due to the reasons of performances. Here, the data is also been
segmented to different classes. It also features the real-time processing, auto-tiring and streaming of
data. It includes the important trends under the big data assessment (Lafuente, 2015). Moreover, the
rising number of business has been utilizing the technology. This is to analyze and store the