Identification of Privacy and Security Risks of Internet of Things: An Empirical Investigation

Abstract

The internet of things (IOT) is a phenomenon of connected devices over the internet to ease human life. It is a system where a separate computing device embedded with sensors is connected to other devices or to the cloud through the different infrastructures of the Internet. The implication of the IOT is still challenging in a geographically distributed environment. Particularly, the main challenges are associated with data privacy and security. In this study, we investigate in the report the risks/issue related to IoT data privacy and security from the existing literature for the last two years and provide a review. We identify a total of seven issues related to IoT data privacy and security. The findings revolved that Privacy, Security, confidentiality, and integrity are the most significant issues for IoT in the current era. The findings of this study provide the researchers with a body of knowledge about the critical issues faced by the users and practitioners of IOT across the globe. Contribution/Originality: In this paper, we conducted the literature review to find out the main challenges that are being faced by challenges related to privacy and security mainly, authentication and access control, confidentiality and integrity IOT devices users and as well as for IOT manufacturer. We highlighted seven, privacy, trust on the device and conducted a questionnaire survey from different organizations and from different research experts and ranked it accordingly.

Toward a secure global contact tracing app for Covid-19

“…This is an initial study conducted considering the evidence from multivocal literature studies to achieve the mentioned objective [32,33]. The complete MLR [19,26,27] study process followed in this study is given in Figure 1 3…”

Examining Techniques to Enhance the Security and Privacy of IoT Devices and Networks against Cyber Threats

“…When the mean value is higher than the standard deviation value, answers are clustered around the mean. Additionally, the link between the mean value and the standard deviation value allows for the consideration of the data's distribution [12]. Thus, it can be contemplated that for all the variables, the responses were clustered around the mean value.…”

Strengthening Data Privacy Laws in the Age of IoT

“…From smart homes to health-monitoring devices, the spectrum of IoT's influence is vast and deeply integrated into personal spaces, making the protection of consumer data not just a necessity but a right. In response to these challenges, this letter calls for a robust overhaul of data privacy laws tailored to the unique complexities presented by the IoT (Hamza et al, 2019;Shehzadi et al, 2022). The foundational issue, as noted by Abomhara and Køien (2014), lies in the security and privacy challenges inherent in IoT's structure.…”