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A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

Open access
Hassija, Vikas, Chamola, Vinay, Saxena, Vikas, Jain, Divyansh, Goyal, Pranav, Sikdar, Biplab·2019·IEEE Access

Abstract

The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects can be empowered to create, receive, and exchange data in a seamless manner. Various IoT applications focus on automating different tasks and are trying to empower the inanimate physical objects to act without any human intervention. The existing and upcoming IoT applications are highly promising to increase the level of comfort, efficiency, and automation for the users. To be able to implement such a world in an ever-growing fashion requires high security, privacy, authentication, and recovery from attacks. In this regard, it is imperative to make the required changes in the architecture of the IoT applications for achieving end-to-end secure IoT environments. In this paper, a detailed review of the security-related challenges and sources of threat in the IoT applications is presented. After discussing the security issues, various emerging and existing technologies focused on achieving a high degree of trust in the IoT applications are discussed. Four different technologies, blockchain, fog computing, edge computing, and machine learning, to increase the level of security in IoT are discussed.

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Metadata

Authors
Hassija, V., Chamola, V., Saxena, V., Jain, D., Goyal, P., & Sikdar, B.
Venue
IEEE Access
Published
2019
Volume
7
Pages
82721-82743
ISSN
2169-3536 (ISSN-L)
OpenAlex
W2951694401
Cited by
1,396
References
20
FWCI
96.39
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures. https://app.cochat.ai/papers/10.1109/access.2019.2924045
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Hassija, V., Chamola, V., Saxena, V., Jain, D., Goyal, P., & Sikdar, B. (2019). A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures. IEEE Access. https://doi.org/10.1109/access.2019.2924045

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