Security, Privacy and Trust for Smart Mobile-Internet of Things (M-IoT): A Survey
March 13, 2019 ยท The Cartographer ยท ๐ IEEE Access
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"Title-pattern auto-detect: Security, Privacy and Trust for Smart Mobile-Internet of Things (M-IoT): A Survey"
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Authors
Vishal Sharma, Ilsun You, Karl Andersson, Francesco Palmieri, Mubashir Husain Rehmani, Jaedeok Lim
arXiv ID
1903.05362
Category
cs.NI: Networking & Internet
Cross-listed
cs.CR
Citations
100
Venue
IEEE Access
Last Checked
1 day ago
Abstract
With an enormous range of applications, Internet of Things (IoT) has magnetized industries and academicians from everywhere. IoT facilitates operations through ubiquitous connectivity by providing Internet access to all the devices with computing capabilities. With the evolution of wireless infrastructure, the focus from simple IoT has been shifted to smart, connected and mobile IoT (M-IoT) devices and platforms, which can enable low-complexity, low-cost and efficient computing through sensors, machines, and even crowdsourcing. All these devices can be grouped under a common term of M-IoT. Even though the positive impact on applications has been tremendous, security, privacy and trust are still the major concerns for such networks and an insufficient enforcement of these requirements introduces non-negligible threats to M-IoT devices and platforms. Thus, it is important to understand the range of solutions which are available for providing a secure, privacy-compliant, and trustworthy mechanism for M-IoT. There is no direct survey available, which focuses on security, privacy, trust, secure protocols, physical layer security and handover protections in M-IoT. This paper covers such requisites and presents comparisons of state-the-art solutions for IoT which are applicable to security, privacy, and trust in smart and connected M-IoT networks. Apart from these, various challenges, applications, advantages, technologies, standards, open issues, and roadmap for security, privacy and trust are also discussed in this paper.
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