Big Data Challenges in IoT & Cloud

Big data challenges in IoT and cloud

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1. Analysis of the task
Big data is an advanced information technology that provides a platform to
analyse and control a large amount of data. Today, most organizations used this
approach to handle consumer’s data or information because it has the ability to
maintain both unstructured and structured data (Antonopoulos, & Gillam, 2010). The
main aim of this paper is to analyse the important perception of big data and challenges
or issues faced by big data in the cloud and IoT.
We have chosen “big data challenges in IoT and cloud” topic for this report and it
will divide into main four sections such as analysis the task, literature review, introduce
the problem or challenges and final report.
Problem statement: Discuss the issues and challenges faced by big data
technology in IoT and cloud computing.
Annotated bibliography
Kumari, S., & Guruprasad H. S. (2015). Integration of IOT, Cloud and Big Data,
Global Journal of Engineering Science and Researches, 2(7), 251-258.
The title of this journal paper is Integration of IOT, Cloud and Big Data that was
written by suchetha kumara and H.S. guruprasad. The main goal of this paper is to
comprehend the idea of big data in IoT and cloud with their challenges. In which the
author describes the overview of modern technologies used in cloud and IoT and
security challenges faced by big data approach in IoT and cloud. According to the
author, Iot is defined as a technique which is used to control and manage computer
devices and mobile networks from any location. The main problem faced by this
technology is security due to which many cyber-attacks occur such as ransom ware,
DDOS attack and malware attack. To avoid such kind of issues researcher identify new
approaches, for example, firewall, encryption and many more but the main drawback of
this article is that the author did not provide a proper explanation of cyber-severity
threats.
Yang, C., Huang, Q., Li, Z., Liu, K., & Hu, F. (2017). Big Data and cloud computing:
innovation opportunities and challenges. International Journal of Digital
Earth, 10(1), 13-53.
This article was written by four researchers such as Chaowei Yang, Qunying
Huang, Zhenlong Li, and Kai Liu. According to author big data is an advanced technology
that changed the way of data analysis and it also increases the decision making the
process by which business industries can enhance their efficiency. The key aim of this
paper is to describe innovation occasions and threats faced by big data technique and
cloud. In this modern generation, big data faced different types of challenges, for
example, storing data, process huge data, and transportation issues and data analyst

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problem. This journal article reviews the main 2 boundaries such as big data process
and cloud and also analysis the benefit and drawbacks of these technologies with their
security threats.
Kumar, M. P., Santhoshkumar, S. P., Gowdhaman, T., & Shajahaan, S. S. (2017). A
SURVEY ON IoT PERFORMANCES IN BIG DATA, International Journal of Computer
Science and Mobile Computing, 6(10), 26-34.
The title of this journal paper is A SURVEY ON IoT PERFORMANCES IN BIG DATA
that is completely based on security issues faced by IoT and big data. This paper was
provided by Praveen Kumar, santhosh Kumar, gowdhaman and Syed shajahaan and the
main importance of this journal is to evaluate the performance of IoT in large data. The
IoT is distinct as a computer system that interconnects two or more peripheral devices
by using internet connectivity and it plays a vital part in big data but it associated with
some security issues like cyber-crimes and data breach. In which the author conducted
a survey to gather relevant information about the research topic and also discussed the
big data problems in Iot and cloud based technique.
Bhanu M., & Koushik A. (2017). A study of big data analytics in the cloud with a
security perspective, an international journal of engineering research and
technology, 6(1), 12-18.
The title of this paper is a education of big data analytics in the cloud technology
with a safety viewpoint that was written by bhanu Sridhar and A. koushik. The main aim
of this article is to enquiry the big data approach and the importance of cloud in big data
method. According to M. bhanu big data is one of the best approaches that have the
ability to analysis both unstructured and structured data. The main advantage of this
technology is that small and large business can handle any kind of data and cloud
computing is used to store these data sets. This paper provides a summary of big data
and cloud innovation with their challenges and limitations but the main disadvantage of
this journal is that the investigator did not explain the mitigation process to handle their
problems.
Mathur, N., & Purohit, R. (2017). Issues and challenges in the convergence of big
data, cloud and data science. International Journal of Computer
Applications, 160(9), 14-18.
This article was written by neha mathur and Rajesh purohit and it is completely
based on issues and threats faced by large data technology in Iot and cloud. According to
the author, big data is defined as a trend that includes different kinds of data sets and
many organizations are using this approach to analysis consumer’s data. The chief
purpose of this article is to define the importance of big data process and security
related issues and challenges faced by this technology. To stock, analysis and process
the huge quantity data people can adopt cloud-based services and big data is

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unimaginable without cloud computing. There are many advantages of this article, for
example, the author described big data in detail, also evaluated key factors that increase
security-threats and they used both quantitative and qualitative method to gather
relevant data. According to a researcher there are various kinds of issues occur in this
technology, for example, storage issues, data transportation problems, data
management issues, processing issue and security-related issues which are described in
this paper.
Alansari, Z., Anuar, N. B., Kamsin, A., Soomro, S., Belgaum, M. R., Miraz, M. H., &
Alshaer, J. (2018, August). Challenges of the Internet of Things and Big Data
Integration. In International Conference for Emerging Technologies in Computing,
8(2), pp. 47-55.
The title of this research paper is the issues of the IoT and Big Data Integration
which is based on the internet of thing and big data approach. It was developed by many
writers like Zainab Alansari1, Nor Badrul Anuar, Amirrudin Kamsin, Safeeullah Soomro,
Mohammad Riyaz Belgaum, Mahdi H. Miraz, and Jawdat Alshaer. According to this
paper, the IoT is an appropriate process that connects two or more physical devices
with each other by using the internet connection and it uses wireless networks to
transfer data from one person to another. Big data use this approach to handle user’s
data and put it into a computer system by which organization can easily analysis these
data sets. Analysis of large data by using IoT is a very common process which is used by
many government communities but they also faced the issue of security and privacy. In
this article, the author used the qualitative method to analysis the concept of giant data
and provides the compensations of IoT based on big data.
Sarma, K. S., & Raghupathi, M. (2018). SECURITY ISSUES OF BIG DATA IN IOT
BASED APPLICATION, International Journal of Pure and Applied Mathematics,
118(14), 221-227.
The title of this article is SECURITY ISSUES OF BIG DATA IN IOT BASED
APPLICATIONS that was introduced by subrahmanya sarma and M. Raghupathi. Today
more of consumers use computer devices and internet to share data or information and
IoT using the cloud is a new approach in which information are transferred through the
internet. Due to increment in electronics and communication technology the use of
social media, emails and transportation services are also growing very fast for which
users required big data technique to handle huge data. The main detached of this
investigation paper is to describe the security related issues of big facts in IoT based
applications. In which author used both qualitative and quantitative research method to
collect the data or information and they also explained limitation of big data.
Thabet, N., & Soomro, T. R. (2015). Big Data Challenges. Journal of Computer
Engineering & Information Technology, 8(2), 12-15.