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

By Vikas Hassija, Vinay Chamola, Vikas Saxena, Divyansh Jain, Pranav Goyal, Biplab Kumar Sikdar. IEEE Access, 2019

1,116 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/8d208c08c9fea2793085a6da625b8e4f5ebe7695

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Citations in the corpus

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges (2021, background): “The topic of Security of IoT has been covered in [227] who deliberate upon the challenges faced in the different architectures of the IoT and present issues and solutions.”
A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact (2020, background): “In recent times, much like the IoT, IoMT has witnessed a surge in the number of its potential applications [108].”
Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions (2022, methodology): “, billions of smart devices [57], are interconnected, which are coupled with the high volume, velocity, and struc-”