Big Data and IoT Security and Privacy Problems: A Detailed Analysis

This report delves into the critical intersection of Big Data and the Internet of Things (IoT), highlighting their growing importance in business organizations. It explores the implementation of IoT on Big Data and the associated challenges, particularly concerning data security and privacy. The report outlines the fundamentals of both technologies, discussing their applications and the privacy threats inherent in IoT security. It examines various privacy challenges, including cyber security threats, shifts in business models, the handling of huge data volumes, and legal issues. The report concludes by offering several recommendations, such as using updated firewalls, antivirus software, multi-layered security architectures, and advanced security protocols to mitigate the risks. The analysis provides a comprehensive overview of the security and privacy concerns in the context of Big Data and IoT, suggesting actionable steps for data protection.

Running head: BIG DATA AND IOT SECURITY AND PRIVACY PROBLEMS
Big Data and IoT Security and Privacy Problems
Name of the Student
Name of the University
Author’s Note

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Executive Summary
This report deals with the importance of the Big Data and Internet of things in the business
organization. This report focuses on the implementation of the IoT on the Big Data in the
organization. This report also focuses on the challenges faced by the IoT and Bog Data related to
the security of data and information in the organization. There are several recommendations
provided in the report that might help in mitigating the risks involved.

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Table of Contents
Introduction......................................................................................................................................3
Big Data...........................................................................................................................................3
Internet of Things............................................................................................................................4
Necessity of IOT and Big Data implementation..............................................................................5
Impact of IOT on Big Data..............................................................................................................5
Privacy challenges in the implementation of the big data and IoT..................................................7
Recommendations............................................................................................................................8
Conclusion.......................................................................................................................................9
References......................................................................................................................................10

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Introduction
Big Data and Internet of Things are two recent topics evolving in the latest years. Both
the topics are interrelated to each other in the market. The basic concept of the Internet of Things
is to connect maximum number of devices with the help of IP addresses over the internet. There
are millions of devices are connected with each other the help of IoT in the modern world.
This report deals with the integration of big data and IoT in the computing world. The
different challenges in implementing the big data and IoT are discussed in the report.
This report outlines the fundamentals of the big data and IoT in the market. The use of
the IoT and Big Data has been discussed in the report. The privacy threats in the security of the
IoT has been enlightened in the report.
Big Data
The Big Data refers to the gargantuan bulk of data that are nit handled in simle traditional
data-handling techniques (Zakir, Seymour and Berg 2015). Therefore, big data is a concept that
helps in managing huge amount of data at a time. Around 2.5 quintillion bytes of data are
produced on a daily basis at various operations. Therefore, management of such a tremendous
amount of data is impossible with the help of traditional data handling techniques. There are
various sources of data generation including sensors, electronic devices, GPS signals, satellites,
robots and other entertainment devices. These data is maintained with the help of Big Data
Analysis. The applications of Big Data is spreading in many fields including health sector and
finance sector (Duncan, Happe and Bratterud 2016). The use of the big data database has been
rapidly used by the origination in the market.

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These databases are well-integrated programs that helps in maintaining a track of data
stored in it. The big data is stored in the databases that helps in easy fetching of data and
information. The data and information are stored in small packets that helps in easy searching of
data in the database. On the other hand, Hu et al. (2014) argued that the security of huge amount
data is a major challenge for the Big Data Analysis. The anonymous use in the data as
information leads ti the data breach in the database of the business organization or any firm. The
data loss is the major problem for the Big Dat. The loss in the data and information of the
business organization causes financial loss.
Internet of Things
The Internet of Things is an advanced automation and analytical system that helps in
connecting devices through a network. It is integrated with the big data for storing data and
information regarding the connected devices (Amini, Gerostathopoulos and Prehofer 2017).
These systems help in automation, data collection and increasing the efficiency of the devices in
the system. The IoT systems are used in various industries for enhancing the production and
efficiency of the system in the industry. The use of the IoT have helped in connecting millions
of devices together all over the world (Li, Lu and Misic 2017).
The IoT have increased the active engagement of the devices with each other by
enhancing the efficiency. The IoT has helped in managing the customer engagement in the
company. It has maintained the customer relationship in the market. The data collection
technique has been enhanced by the use of the IoT devices. On the other hand, Mahajan, Gaba
and Chauhan (2016) argued that the security measures of the data and information is causing
problems in the IoT scenario. Therefore, the integration of the big data and IoT is necessary for
mitigating the security challenges faced.

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Necessity of IOT and Big Data implementation
IoT have enabled the big data in the systems that provides security of the data and
information. The various functions and operations in different sectors have helped in maintaining
the business management in the market. The integration of the big data and IoT helps in
analytical monitoring of various operations of the business organization. Therefore, the use of
the big data have helped in storing the data and information collected from various sources (Patil
and Seshadri 2014). The anti-virus software helps in scanning and repairing the database on a
daily basis that helps in monitoring the Big Data Storage. The rejection rates of the orders are
reduces by the use of the big data and IoT in the business organization. It helps in managing the
schedule of different orders in the business organization. The use of the multi-layered security
architecture in the company helps in maintaining the security of the data and information in the
database of the company.
The implementation of the big data and IoT have helped in resolving the security
problems of the data and information in the business organization. The collected data and
information are stored in the database using the big data analysis and secured by IoT technology
protocols and devices. The monitoring of the systems are don with the help of the IoT devices in
the business organization. The use of the sensor technology has been driven by the IoT devices
in the system that helps in maintaining the security of the systems by sensing the threats around
it (Sachdeva and Chung 2017). Both the technology have helped in creating new opportunities
for the business organization in the market. They have enabled new business models that helped
in developing the company in the market.
Impact of IOT on Big Data

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The IoT is a network consists of physical devices that provide security of the data of the
users in the market. The incorporation of the big data and IoT in the systems have helped in
maintaining the operations of the organization. The major impact of the IoT in the big data has
been mentioned below:
Big Data Storage
The huge collection of data and information from various sources have to be stored
properly for security. The data collected from the input and output (I/O) devices in the
environment are stored in different form according to the requirement (Balamurugan et al. 2016)
The collection of the IoT Big Data is a difficult as there are many filtration of the redundant data
and information is required. Different companies are moving towards the cloud services for
storing huge amount of data and information online (De Francisci Morales et al. 2016). The IoT
Big Data storage is a difficult task to perform in the arena because of the increasing amount of
data and information. The collected data and information are stored in the database using the big
data analysis and secured by IoT technology protocols and devices. The monitoring of the
systems are don with the help of the IoT devices in the business organization. The use of the
sensor technology has been driven by the IoT devices in the system that helps in maintaining the
security of the systems by sensing the threats around it.
Data Security Issues
The implementation of the IoT have caused many challenges related to the security of the
data and information that cannot be handled by the traditional security methods. The cyber-attack
and access control are the main security challenges faced (Ifrim et al. 2017). A multi-layered
security system might help in avoiding the cyber-attacks by scattering other parts of the network.

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Software-defined networking (SDN) technologies might help in using point-to-point and
multipoint encryption for accessing different policies.
Big Data Analytics
Data Analytics helps in examining raw data by coming to a conclusion of the
information. The data analytics is used by different business organization for enhancing the
decisions and existing theories and models (Bifet 2016). The Big Data Analytics helps in
enhancing the business values in the market by implementing sole business activities.
Privacy challenges in the implementation of the big data and IoT
There are various challenges faced during the implementation of the bug data and IoT in
the business organization. Some of the privacy challenges are mentioned below:
Cyber Security
The privacy and security of the data over the internet is the main challenge for them. The
cyber-attacks over the database of the company causes huge data loss in the market (Babiceanu
and Seker 2016). The privacy of the employees and other staffs are hampered due to the data loss
in the company. The private information about the employees and other staffs are stored in the
database of the company.
Fundamental shift in business model
The big data and IoT have provided opportunities for using different business models in
the company that have caused a problem in the operations of the company. The frequent change
in the business models of the organization have caused operational issues in the company
(Yamana and Das 2017). The use of the different business models have caused less stability in

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the organizational structure in the market. The business goals and objectives are also changed
with the change in the business models.
Huge data volumes
The collection of data and information from a number of sources have caused a huge
amount of data collection in the organization. Therefore, storing this huge amount of data
becomes difficult for the company to manage (D’Orazio, Choo and Yang 2017). The big data
analysis have created a huge amount of data and information from many sources that have
caused a huge of volume of data causing problems in handling.
Legal issues
There are various legal issues in the information technology have originated in the
systems due to the integration of the big data and IoT in the business organization. Various laws
and sections are providing security threats including the ISO/IEC Standard 2382-1: 1993:
Information Technology-Vocabulary (Sun et al. 2016).
Recommendations
There are various techniques by which the security of the Big Data in the IoT devices in
the market. The use of the updated firewalls can help in maintaining a secured layer over the
database of the company. The firewall helps in restricting the malwares and viruses from
entering into the database of the company. The updated antivirus software might help in
detecting the viruses and malwares in the database and remove them from it.
The anti-virus software helps in scanning and repairing the database on a daily basis that
helps in monitoring the Big Data Storage. The use of the multi-layered security architecture in

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the company providing security of the data and information in the database of the company. The
use of the safety measures in the company helps in maintaining the security of the data and
information of the company. The unauthorized users are not allow to use any systems of the
company that reduces the cyber-attacks in the company. The use of the advanced security
protocols in the web server of the company helps in securing the IP address of the company. A
proper monitoring of the security systems including changing of password and security questions
frequently and use of biometrics in security help in enhancing the security system of the
company in the market.
Conclusion
It can be concluded that both Big Data and Internet of Things have enhanced the
operations of the business in the market. The use of the IoT devices helps in collecting huge
amount of data and information for the company. This data is stored in the form of Big Data. The
implementation of the Big Data and IoT has created many challenges in the organizations. These
have provided negative impact on the development of the organization in the market. The
security challenges in IoT devices has been a major issue in the business organization. This have
created a chaos in the business organization due to the data loss in the market. The use of the
safety measures has helped in maintaining challenges, the cyber-attacks has been a major
challenge for the company. The use of the updated firewalls and antivirus have helped in
monitoring the systems and secure form malwares and viruses online. The use of the multi-
layered architecture have helped in providing security to the data and information of the
company.

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References
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