Big Data Privacy: Issues, Technologies, and Future Recommendations

This report delves into the multifaceted realm of big data privacy, emphasizing its critical role in the context of social media. It begins by defining big data and its characteristics (volume, variety, and velocity), setting the stage for an exploration of privacy concerns. The report highlights the significance of big data privacy in protecting user data, preventing breaches, and ensuring the secure processing and storage of personal information. It also discusses the advantages of big data technologies, such as cost-effectiveness, time efficiency, and the ability to understand market conditions, while also acknowledging the challenges, including privacy and security concerns, technological requirements, and issues related to handling voluminous data. The report concludes by recommending the implementation of machine learning, the involvement of data scientists, and the adoption of algorithms over software to effectively address big data privacy issues in the future. Furthermore, the report emphasizes the use of tools like Hadoop for effective data management and security.

Big Data Privacy
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Introduction
 Big data is stated as a significant field, which majorly
treats various methodologies to analyse, systematic
information extraction (Constantiou & Kallinikos, 2015).
 Big data helps to deal with numerous data sets that are
much complex and larger in size.
 The three characteristics of big data are 3Vs, which are
volume, variety and velocity of data.
 Big data in social media helps to maintain data security
and privacy by elimination of complexities (Chen, Chiang
& Storey, 2012).

Description of Big Data
characteristics
 The first V is the huge or extremely volume of data,
which is measured on the size of the data within an
organization.
 The second V refers to broader or wider variety of
data types to understand the different variety and
deal with data complexity.
 The third V refers to the velocity at which the data
sets are being processed by the respective user.

Understanding Big Data Privacy
 Big data, being a major technology to properly use user
behaviour analytics, any advanced data analytics method and
predictive analytics.
 New correlations are being searched to spot major business
trends, disease prevention, combating of crime and several
others.
 The governments, advertisements and executives of
businesses can deal with difficulties with large data sets.

Big Data Privacy Contd..
 The data sets can grow rapidly since they are
gathered by cheap information sensing Internet of
things such as RFID, wireless sensor networks,
mobile devices, remote sensors, cameras and
software log.
 Big data privacy is considered for voluminous data
that are being collected from various sources such
as business transaction systems, social networks,
real time data sensors, mobile applications and
customer databases.

Big Data Privacy Contd..
 As data are collected in raw form with data mining
tools and data preparation software, there is always a
high chance that data might lose its confidentiality
and hence losing privacy.
 Moreover, since big data is mainly concerned about
large data sets, it becomes quite easier for hackers to
hack these data sets.
 Bid data even reveals any type of hidden pattern for
identification of secret correlation, privacy issues are
common.

Importance of Big Data Privacy in
Social Media
 Sagiroglu and Sinanc (2013) stated that, privacy of big data is
one of the most important feature, which is needed to be
considered and analysed in any business for ensuring data
safety.
 Breaching of users’ data could be stopped if big data is kept
safe and secured, which is extremely common in social media.
 Personal data is being collected in social media website to add
value to data process (Lu et al., 2014). It can cause data theft
in processing and storage phases.

Importance of Big Data Privacy
Contd..
 Kaisler et al. (2013) have stated in their journal
about PPDP or privacy preserving data mechanism
to eradicate issues related to data security in social
media.
 Access to the confidential data is strictly restricted
and hence data techniques are utilized.
 Encryption based techniques are effective in this
case and issues related to data theft and processing
in social media are avoided (Zhang, 2018).

Importance of Big Data Privacy
Contd.
 The two techniques of big data hat are required for
data security are social network analysis and machine
learning.
 An important application tool of big data is Hadoop
that can be used in social media website to maintain
effectiveness.
 Issues related to privacy are required to be eliminated
with the help of big data technology and thus data
loss of users could be removed in an efficient manner
(Victor, Lopez & Abawajy, 2016).

Advantages of Big Data
Technologies and Privacy in Social
Media
There are some important and significant advantages of big
data technologies and privacy in social media and these are
as follows:
 Cost Effectiveness: Big data technology is extremely cost
effective and hence any business can afford this technology
to ensure that the data is safe and secured with few tools
like Hadoop and Cloud based analytics (Eckhoff & Sommer,
2014).
 Time Effectiveness: The next advantage of this
technology is that it is extremely time effective and does
not incur huge time to recognize data (Yu, 2016).

Advantages of Big Data
Technologies and Privacy Contd..
 Helps to Develop New Product: Big data is even quite helpful
for better development of a new product. Thus, innovation and
creativity are enhanced by this technology (Katal, Wazid &
Goudar, 2013). Twitter and Facebook platforms can provide new
updates or news related to big data.
 Understanding Market Conditions: By analysing market, big
data can understand market conditions easily (Kshetri, 2014).
 Controlling Online Reputation: Big data helps to control
online reputation with help of several tools.

Advantages Contd..
 Easy Data Management: Big data even helps to
manage complex data sets in an effective manner by
involving few calculated metrics (Xu et al., 2014).
PPDM technique is being used for this purpose.
 Real time Forecasting: Real time forecasting and
data monitoring is possible with big data (Kallinikos &
Constantiou, 2015).
 Effective Decision Making: The next advantage of
big data technologies is that it helps in improving
decision quality.