Internet of Things: A primer

Paul, Anand; Jeyaraj, Rathinaraja

doi:10.1002/hbe2.133

Cited by 111 publications

(31 citation statements)

References 28 publications

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“…Several scientific domains have been recognized as including emerging technology: eHealth, CMC, robotics, artificial intelligence, virtual collaborative technology, educational technology, 3D printing, to name a few (Paul & Jeyaraj, 2019; World Health Organization, 2016). For example, the features in Gmail go beyond what is traditionally available in an e‐mail system and include multiple ways to format messages, insert attachments (e.g., files, emojis), and send sensitive content (e.g., money) while allowing users to categorize, flag, and organize incoming and outgoing mails.…”

Section: Emerging Technologies and Extensions Of Cmc Theoriesmentioning

confidence: 99%

Users' mental models forcomputer‐mediatedcommunication: Theorizing emerging technology and behavior ineHealthapplications

Lee

Malcein

2020

Human Behav and Emerg Tech

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This theoretical review focuses on defining users' mental models in modern computermediated communication (CMC) where users interact with intelligent virtual agents. The proposed framework integrates relevant literature in CMC, human-computer interaction, social behavior, and mental models and illustrates the relationship between emerging technology and user behaviors. Using an eHealth context, the framework outlines the initiating (user knowledge and intentions) and mediating (virtual agent representations, context, perceived agency, interactions, and limitations) factors for the development of users' mental models and the process for calibration and behavioral modification upon prolonged use. This framework is expected to be applied to other domain applications and to complement theoretical models that focus on the technological side of human-agent interaction. Better understanding of users' mental models will lead to the timely design and evaluation of intelligent systems and the redefinition of the roles for humans as we embrace more emerging and innovative technologies.

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Section: Emerging Technologies and Extensions Of Cmc Theoriesmentioning

confidence: 99%

Users' mental models forcomputer‐mediatedcommunication: Theorizing emerging technology and behavior ineHealthapplications

Lee

Malcein

2020

Human Behav and Emerg Tech

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“…Hence, their scheme ensures privacy and reliable audit. Later on, Zhu et al [54 ] proposed a novel and tamper‐proof verification method especially for IoT and cloud platforms [55 ]. They used ZSS signature algorithm instead of BLS, where communication and computational overhead is reduced.…”

Section: Integrity‐based Verification and Validation Schemesmentioning

confidence: 99%

Taxonomy of secure data dissemination techniques for IoT environment

Bodkhe

Tanwar

2020

IET Software

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A huge amount of data is generated from the interaction of various sensors and Internet of Things (IoT) enabled devices used in various smart industrial applications. This enormous amount of data requires fast processing, huge storage capacity, secure dissemination, and aggregation to make it resistant from the attackers. Secure data dissemination for IoT‐based applications has been a prominent issue in consideration with the heterogeneity in generated data. Existing secure data dissemination schemes are inadequate to handle secure data distribution. Research communities across the globe are focused on the delivery of the data among the sensor nodes and overlook the difficulty of its secure streaming. Hence, there is a need to validate the performance of secure data distribution schemes for IoT networks using relevant parameters. Motivated from the aforementioned facts, in this study, we perform a comprehensive review on the state‐of‐the‐art techniques, which can verify and validate the performance of data dissemination schemes for IoT networks. We present a solution taxonomy of various verification and validation methods along with their merits and demerits. Finally, recent issues and future directions on verification and validation methods for the secure data distribution in an IoT network is presented.

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“…The IoT is accomplishing a widespread technological perspective of multi-nodal and integrated communication across distributed networks via multi-function, low-power, and lightweight devices 68 . The scale of IoT-based solutions is rapidly expanding from smart home solutions to critical city features.…”

Section: Blockchain and The Iotmentioning

confidence: 99%

Blockchain as a Middleware for Iot Sensing and Authentication Within Smart Cities: A Systematic Literature Review

Alasbali¹,

Azzuhri²,

Salleh³

et al. 2020

Preprint

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Previous research in Smart City technologies has been narrow and system-specific in both their orientation and focus. Specificity creates the homogeneity of systems architecture that, while beneficial from an experimental position, is entirely incompatible with the broader needs of a system standard. The current review seeks to examine existing research and their outcomes and summarize research milestones in the intersection of three domains of blockchain technologies, IoT capabilities, and smart city solutions. Based on the inclusion criteria, eighteen studies extracted from 6 academic journals contained some form of experimental or model-oriented solution and offered a distinct advantage over other proprietary research in this field. The SLR has divided the central concepts and structural solutions illuminated in the blockchain-IoT-related, smart city research conducted in the past four years into its core components: a structural solution of issues of security and authentication in the IoT, a tangible application of smart contract technologies for decentralized smart negotiation and a means of permissions-based performative oversight and administration. Heterogeneity and proprietary technologies will revise IoT's scope and capabilities and capabilities. However, this intermediary role of the Blockchain has been proven in many experimental and exploratory works and offers a significant advantage over prior structural limitations.

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Internet of Things: A primer

Cited by 111 publications

References 28 publications

Users' mental models forcomputer‐mediatedcommunication: Theorizing emerging technology and behavior ineHealthapplications

Users' mental models forcomputer‐mediatedcommunication: Theorizing emerging technology and behavior ineHealthapplications

Taxonomy of secure data dissemination techniques for IoT environment

Blockchain as a Middleware for Iot Sensing and Authentication Within Smart Cities: A Systematic Literature Review

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