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Reasrach article of the issue
IoT Data Management and Applied Research in Qatar
By Aliya Tabassum
Internet of Things (IoT) is a network of interconnected devices which carry potentially data to serve multiple users. Internet of
Things (IoT) has changed the perception of life in every sector of human operation. The number of connected devices is being
increased every day making the traditional objects into smart, intelligent and coordinating in decision making. In 2010, the number
of IoT connected devices has surpassed the human population and have a significant home and market applications which make
these devices highly important. The term Internet of things (IoT) was first introduced by Kevin Ashton in 1999 [1] and it is predicted
that by 2020 there will be more than 50 billion smart objects and each person would be owning approximately 7 physical smart
devices [2]. Due to the use of modern technologies like Smart Home & Agriculture automation and Education, Energy & Building
management, IoTs are rapidly being adopted worldwide. At the same time, the risks and challenges in data management are worth
concerning that create obstacles to the services it provides. Due to the associated risks with IoT devices and networks, some of
the users are resistant to use these smart devices. Figure 1 below gives an overview of risks with data management are shown.
This article provides an overview on current risks and challenges in IoT data management and latest research works in IoTs in
Qatar.
The major challenges for IoT data management are Data Storage, Integrity, Privacy and Confidentiality [3].
Data Integrity, Privacy and Confidentiality:
IoT devices
exchanges enormous data every day. The number of attacks
against these devices has made it difficult to maintain the integrity,
privacy and confidentiality of data in motion and data at rest [4].
Robust authentication, access control and other defense
mechanisms can ensure overcoming the following challenges of
IoT data management.
Data Storage:
Due to increase in the number of IoT devices,
the huge amount of data is being generated. The concern for data
storage and management is rising every year. It requires efficient
mechanisms to collect, store and manage data. In addition, better
data analysis tools are needed to extract and save useful data [5].
Other areas of concern are Data Heterogeneity & Mobility Management, Interoperability, Data Access Management,
Knowledge Management, Data Aggregation tools and Data Analysis tools.
Figure 1 IoT Data Management Challenges