A Study on Privacy Issues in Internet of Things (IoT)

Zainuddin, Naqliyah; Daud, Maslina; Ahmad, Sabariah; Maslizan, Mayasarah; Abdullah, Syafiqa Anneisa Leng

doi:10.1109/csp51677.2021.9357592

Cited by 14 publications

(8 citation statements)

References 22 publications

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“…Year Systematic Domain Main Goal Ogonji et al [15] ✓ IoT Privacy and security threats, attack surface, vulnerabilities, and countermeasures in IoT. Sarwar et al [25] x IoT and Fog Privacy preservation in IoT and fog-enabled IoT Zainuddin et al [16] x IoT Applications Privacy threats in IoT applications Islam et al [17] ✓ IoT and Big Data Types of privacy attacks and solutions in the IoT and Big Data contexts Zarandi et al [20] x Smart Farming Big Data privacy in smart farming Hireche et al [21] x IoMT Privacy and security in IoMT Shahid et al [23] x IoHT Data breaches and legal regulations in IoHT Alabdulatif et al [24] x IoNT Overview of IoNT and its security and privacy issues Torre et al [18] ✓ IoT Devices Privacy-preservation techniques for IoT devices Tokas et al [26] x IoT Privacy-enhancing technologies and GDPR-specific privacy principles Demertzi et al [27] x IIoT Privacy requirements in the Industrial IoT Fallatah et al [28] x PDS PDS and its advantages and disadvantages Zubaydi et al [29] ✓ IoT and Blockchain Blockchain solutions for IoT security and privacy issues Asqah and Moulahi [30] x…”

Section: Authorsmentioning

confidence: 99%

“…Many previous studies have reviewed privacy problems in the IoT context, focusing on different perspectives. A number of these studies have aimed to provide an understanding of the problem in general IoT applications [15][16][17][18][19]. In contrast, others have concentrated on specific IoT environments such as smart farming [20], the Internet of Medical Things [21,22], the Internet of Healthcare Things [23], and the Internet of Industrial Things [24].…”

Section: Introductionmentioning

confidence: 99%

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A Systematic Review on Privacy-Aware IoT Personal Data Stores

Pinto,

Donta,

Dustdar

et al. 2024

Sensors

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Data from the Internet of Things (IoT) enables the design of new business models and services that improve user experience and satisfaction. These data serve as important information sources for many domains, including disaster management, biosurveillance, smart cities, and smart health, among others. However, this scenario involves the collection of personal data, raising new challenges related to data privacy protection. Therefore, we aim to provide state-of-the-art information regarding privacy issues in the context of IoT, with a particular focus on findings that utilize the Personal Data Store (PDS) as a viable solution for these concerns. To achieve this, we conduct a systematic mapping review to identify, evaluate, and interpret the relevant literature on privacy issues and PDS-based solutions in the IoT context. Our analysis is guided by three well-defined research questions, and we systematically selected 49 studies published until 2023 from an initial pool of 176 papers. We analyze and discuss the most common privacy issues highlighted by the authors and position the role of PDS technologies as a solution to privacy issues in the IoT context. As a result, our findings reveal that only a small number of works (approximately 20%) were dedicated to presenting solutions for privacy issues. Most works (almost 82%) were published between 2018 and 2023, demonstrating an increased interest in the theme in recent years. Additionally, only two works used PDS-based solutions to deal with privacy issues in the IoT context.

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Section: Authorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Systematic Review on Privacy-Aware IoT Personal Data Stores

Pinto,

Donta,

Dustdar

et al. 2024

Sensors

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“…Various IoT applications have been prototyped and implemented, such as smart-building [7], smart-home, smart-vehicle [8], smart-farming [5], and smart-industry applications [9]. This section discusses the characteristics of several IoT systems that have been widely implemented in everyday life.…”

Section: Iot Applicationsmentioning

confidence: 99%

“…Personal health monitoring, drug delivery systems, remote patient data retrieval, and other IoT technology adaptations in the health sector are examples of IoT technology adaptations. Data from sensors worn by patients is collected, processed, and stored in the long term so that it can be used for continuous medical records [8]. Various types of intelligent sensors have been used in fitness equipment, diets, and health monitoring systems [17].…”

Section: Health Monitoringmentioning

confidence: 99%

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Towards The Secure Internet of Things: Threats and Solution

Ula

Adek

Mukhlish

2023

Proceedings of Malikussaleh International Conference on Multidi

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The use of the Internet of Things (IoT) has recently become a worldwide trend, as this technology can connect various types of equipment such as sensors, cameras, and other devices via the internet. The broad adoption of various IoT technologies makes life easier and better for people. Internet of things applications has been widely used in Smart Building, Smart Vehicles, Construction Management, health management and many other applications. However, the IoT technology still has many flaws and weakness especially in its security and defense mechanism. This paper reviews and elaborate type of security vulnerabilities, issue and threats that IoT technology faces from academic research paper in the past 10 years. This review also aims to find the possible solutions proposed by researchers to overcome security weakness, threats and issue in IoT technology and its application. This research goal to provide guidelines for those who want to develop and improve IoT security. A systematic review was used as the methodology in this paper. The purpose of this systematic review is to survey the threats and vulnerabilities of IoT technology as reported in previous studies. This review also proposes a comprehensive countermeasure to the previously mentioned threats and weaknesses. This study's findings include the identification and classification of various threats in IoT, as well as methods for countermeasures against these attacks. It concludes with reviews of research gaps and future research directions to improve IoT security.

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