Answer To: You can choose the focus and topic which you can do the best for the research report in the areas of...
Soumi answered on Apr 30 2021
Running Head: THE DILEMMA FOR USING IOT 1
THE DILEMMA FOR USING IOT 5
CHOOSING BETWEEN PRIVACY CONCERN AND EASE OF USE: THE DILEMMA FOR USING IOT
Abstract
The current research report aims at discussing the dilemma, users face while using IoT technology in their daily lives for its providing of ease, on one-hand and privacy concerns on the other. The research report shows that considering the remarkable ability to provide data for the refinement of daily life routine of the users, the development stage, the hardware vulnerability has created and widened the scope of privacy and security breach. The report gives in depth details about the related aspects of the research, in the form of a research report, while in case using the right set of methods, research methodology is provided, which gives details about the primary data collected, which used both qualitative and quantitative data.
Table of Contents
Introduction 4
Literature Review 4
Dynamics of IoT 4
Success Factors of IoT 6
Use of Data Mining in IoT 7
Contribution of IoT for Higher Convenient Living 8
Risks Associated with the use of IoT 9
Role of Stakeholders in IoT 10
Future Potential of IoT technology 11
Research Methodology 12
Research Philosophy 12
Research Design 12
Research Approach 13
Research Type 13
Research Strategy and Data Collection Technique 13
Data Source, Sample and Size of Sample 14
Data Analysis Technique 14
Ethical Consideration 14
Conclusion 15
References 16
Introduction
The development of the Internet of Things, better known as IoT is the latest offering of the information and communication technology and is a significant step towards a more data driven as well as human and technology interaction-based environment. The use of IoT is completely reliant on the use of collection, processing and responding to human commands, feedbacks and actions through internet power devices, which are integrated with regular household staffs, a wider expansion from typical communication devices such as computers, laptops and smartphones.
IoT devices collect data on regular basis and remain in touch with users all day long, monitoring their activities consistently and sending the details to central database for processing. The use of IoT has made users’ experiences better with its accuracy, fast response and smart identification of commends, however, IoT, due to its nature of collecting data from the users creates privacy concerns and although the incidents of privacy breaches by IoT devices have been covered by accidental programming flaws, it is worth the mention that the collection of data on regular basis, makes the users monitoring aspect concerning. As IoT offers both positive as well as negative aspects of its usage the users are left in dilemma, whether to use it or not and is the current topic of the report.
Literature Review
Dynamics of IoT
The development of the RFID or Radio Frequency Identification technology in the latter half of the 1990s and the existing benefits of data mining technology paved the way for Internet of Things (IoT). As stated by Tselios, Politis and Kotsopoulos (2017), IoT is a hardware-software oriented data mining system, which collects data through the use of hardware, uses the internet for transmitting the collected data to a central database and use software technology to identify a pattern that would provide significant details to its users. IoT has evolved over time, as mentioned by Dhar and Gupta (2016), in the earlier times IoT devices were used for data collection and software based solution providing, especially in the fields of business and healthcare, while the used IoT setups had single nodes or data collecting hardware (electronic sensors or nods).
However, with the development of better internet connectivity and technological innovation, IoT has become capable of interacting with the users by not only collecting data from the users and just presenting a data driven pattern, it has evolved into a system, in which users’ data from different sections of daily lives are collected with the use of multiple nod-based network system and controlling the actions of hardware through internet connectivity and algorithm based data processing.
IoT has been adapted into the human society slowly, although the future potential of its usage is highly valued, for its ability to use data mining on personal levels, pattern development for hazard identification and help self-monitor daily activity. As assessed by Furst, Chen, Kim, and Bonnet (2018), the ability to use user data for pattern identification, IoT make live simpler and more well regulated. The core idea of IoT is using sensors for tracking users’ activities and acting accordingly to provide maximum conveniences as seen in the cases of smart lights, locks and speakers, where each type of device work consistently, given that the internet connectivity is available. IoT is capable of reaching not only domestic but also commercial sector for its ability to develop network through multiple sensor-based nodes, which offer better observation, data collection and their processing at daily basis.
Success Factors of IoT
The used hardware for IoT technology, its quality, compatibility, accuracy and longevity, is a major success factor for IoT. As affirmed by Ma, Liu, Zhou and Zhao (2016), the hardware used for IoT technology requires collecting data by being in close proximity of the users, remains functional under environmental changes and contain sensor for external signal response and internet communication system for data transmission and reception, therefore, its quality, compatibility, nature of sensor, accuracy and longevity affect the effectiveness of IoT and its performance. The hardware used as nods, must also have the mechanical capacity to execute actions such as regulating flow of electivity, running and closing circuits or, moving locks; or recording visual or auditory data.
The effectiveness of IoT depends on the collection, transmission, processing and retrieval of data, which makes the internet connectivity a critical success factor for IoT. As opined by Koh, Nevat, Leong and Wong (2016), IoT is expected to response promptly with sensory interaction and therefore, the transmission of data and its processing needs to be done fast, which requires fast internet connections. The heavy reliance on the high-speed internet connection for successful installation of usage of IoT can be made evident from the fact that IoT is highly adapted in countries, where the internet connectivity is available, affordable and has a higher speed of data transmission.
Thirdly, value for money propositions is an active success factor for IoT and its application. As noted by Rutayisire, Markon and Raymond (2017), the use of high-speed internet modems, the use of sophisticated micro sensors and the research and development involved in software based algorithm determination, makes the IoT technology production and maintenance cost high. Considering the high pricing of IoT, any technical and security-oriented issues make the value for money aspect decline in quality, taking away the reliability of the technology; therefore, retention of the value for money proposition makes the IoT attractive to the customers and clients, who use it in domestic as well as commercial environments.
Lastly, the availability of a functional ecosystem is also deemed as a success factor for IoT. In order to formulate accurate algorithms, identifying the patterns of usage, the upgrading of technology used, offer after sale services and to scale the users’ usage patterns a multitude of different data must be connected with one another to formulate a collective whole. As mentioned by Yunge, Park, Kindt, Pravadelli and Chakraborty (2016), the more different IoT devices send their data to a central database, the better information are processed, which makes the development of an ecosystem, essential, otherwise, IoT would remain outlets for personal data collection and processing, a sort of individual focused data mining.
Use of Data Mining in IoT
The development of the sensors, the integration of the IoT devices through internet will not ensure successful IoT ecosystem development, unless the collected data is processed properly and therefore, data mining process is considered to be an integral part of IoT. As mentioned by Mahdavinejad et al. (2018), data mining process identifies the data based patterns, which are later used for the formulation of the algorithms that gives...