Big Data and Privacy | Report

Running head: BIG DATA AND PRIVACY
Big Data and Privacy
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BIG DATA AND PRIVACY1
Table of Contents
1. Introduction....................................................................................................................2
2. Discussion......................................................................................................................2
2.1 Data Breaches.........................................................................................................2
2.2 Research on Data Breaches....................................................................................3
2.3 Trump campaign and Cambridge Analytica Scandal..............................................4
2.4 Examples of Data Privacy and Relevant Importance..............................................5
2.5 Persuasive advertising on Social Media..................................................................5
2.6 “DEEP FAKE” video advertising..............................................................................6
2.7 Misuse of Facebook Data by Cambridge Analytica.................................................6
2.8 Receiving of data by Social Media Platforms..........................................................6
2.9 Big Data as a Valuable Asset for Future..................................................................7
2.9 Techniques and methodologies engaged with big data privacy..............................8
2.10 “How much information is too much Information”..................................................9
2.11 Big Data Privacy...................................................................................................10
2.12 “Tracking on people’s involvement in social media”............................................10
2.13 Working functionality of tracking criteria..............................................................12
2.14 Impact of Data Breaches over Social Media habits.............................................13
2.15 Mass surveillance by government in USA and China..........................................13
2.16 Ethical issues concerned with big data privacy...................................................13

BIG DATA AND PRIVACY2
3. Conclusion...................................................................................................................14
References.......................................................................................................................15

BIG DATA AND PRIVACY3
1. Introduction
The concept of Big Data can be defined as term, which primarily refers to large
sets of data, which have a complex and varied structure. The different kind of
characteristics that are embedded in the platform of Big Data primarily correlate
themselves to the main purpose of performing analysis, storing and further application
of procedures based on extracting of generic results (Gandomi & Haider, 2015). There
have been huge contradictions in relation to the security and privacy concerns in the
field of Big Data and the different aspects of the use of this technology.
Big Data mainly deals with large and complex sets of data that are often
generated by companies in order to process them. Hence, these forms of data are
highly critical in nature as they relate to customers and their privacy. In the present time,
it has been majorly been seen that security breaches hamper the growth and reputation
of companies as people might feel that lack of security measures lead to the scenario of
breaches. This paper would thus highlight the latest security techniques that could be
applied to big data frameworks (Chen & Zhang, 2014). The primary topic of discussion
and the focus of the paper is based on the concerns in relation to security and privacy,
data breaches that have occurred in the recent years, data privacy aspects and the
various kind of ethical issues that govern the framework of the technology.
2. Discussion
2.1 Data Breaches
In the recent kind of data breaches, Facebook continues to be the leading sector
over which data breaches have occurred continuously. In a more recent news of data