A survey of security and privacy issues in the Internet of Things from the layered context
March 03, 2019 ยท The Cartographer ยท ๐ Transactions on Emerging Telecommunications Technologies
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"Title-pattern auto-detect: A survey of security and privacy issues in the Internet of Things from the layered context"
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Authors
Samundra Deep, Xi Zheng, Alireza Jolfaei, Dongjin Yu, Pouya Ostovari, Ali Kashif Bashir
arXiv ID
1903.00846
Category
cs.NI: Networking & Internet
Cross-listed
cs.CR
Citations
116
Venue
Transactions on Emerging Telecommunications Technologies
Last Checked
1 day ago
Abstract
Internet of Things (IoT) is a novel paradigm, which not only facilitates a large number of devices to be ubiquitously connected over the Internet but also provides a mechanism to remotely control these devices. The IoT is pervasive and is almost an integral part of our daily life. As devices are becoming increasingly connected, privacy and security issues become more and more critical and these need to be addressed on an urgent basis. IoT implementations and devices are eminently prone to threats that could compromise the security and privacy of the consumers, which, in turn, could influence its practical deployment. In recent past, some research has been carried out to secure IoT devices with an intention to alleviate the security concerns of users. The purpose of this paper is to highlight the security and privacy issues in IoT systems. To this effect, the paper examines the security issues at each layer in the IoT protocol stack, identifies the underlying challenges and key security requirements and provides a brief overview of existing security solutions to safeguard the IoT from the layered context.
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