From the Internet of Things to the web of things — enabling by sensing as-a service

Mathew, Sujith Samuel; Atif, Yacine; Barachi, May El

doi:10.1109/innovations.2016.7880055

Cited by 11 publications

(1 citation statement)

References 21 publications

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“…Planning and consensus is a concept which differs selforganization mentioned above because before an organization can take place, there must be some sort of agreement between these devices and this is a function of how they interact in a heterogeneous setting [22]. While self-organizations investigate a whole network collaborating to achieve a goal, planning and consensus looked at the agreement at the heterogeneous device to device level [23].…”

Section: Planning and Consensus Within Disparate Iot Elementsmentioning

confidence: 99%

Securing Self-organizing IoT Ecosystem: A Distributed Ledger Technology Approach

Joseph

Raffety

Morrow

et al. 2019

2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

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The proliferation of the Internet of Things has seen it adopted to practically all aspects of life. There has been an increase in demand for more IoT devices which are manufactured by several companies. This has however left need to address vulnerabilities within and threats to these devices. In many cases, these vulnerabilities arise from manufacturer focus on functionality rather than security. Secure by design IoT devices are rare in the market today. Efforts to address this are being made by the IoT research community, however, more effort is required. Deficiencies of current efforts include accountability of devices and privacy of data generated across the IoT landscape. The aim of this Ph.D. research is to improve the security, privacy, veracity, and trust. The approach developed in this study will be based on non-repudiation of actions among self-organized IoT devices in an IoT Ecosystem by leveraging Distributed Ledger Technology (DLT). A proposed system architecture which relies on the Distributed Ledger Technology and its related features will enable services to be applied to the IoT landscape to achieve aspects of end to end IoT security. The initial progress to date is presented within this manuscript.

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Section: Planning and Consensus Within Disparate Iot Elementsmentioning

confidence: 99%

Securing Self-organizing IoT Ecosystem: A Distributed Ledger Technology Approach

Joseph

Raffety

Morrow

et al. 2019

2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

View full text Add to dashboard Cite

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Internet of Things data analytics for parking availability prediction and guidance

Atif

Kharrazi

Ding

et al. 2020

Trans Emerging Tel Tech

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Cutting-edge sensors and devices are increasingly deployed within urban areas to make-up the fabric of TCP/IP connectivity driven by Internet of Things (IoT). This immersion into physical urban environments creates new data-streams which could be exploited to deliver novel cloud-based services. Connected-vehicles and road-infrastructure data are leveraged in this paper to build applications that alleviate notorious parking and induced traffic-congestion issues. To optimize the utility of parking-lots, our proposed SmartPark algorithm employs a discrete Markov-chain model to demystify the future state of a parking-lot, by the time a vehicle is expected to reach it. The algorithm features three modular sections. First a search process is triggered to identify the expected arrival-time periods to all parking lots in the targeted Central Business District or CBD area. This process utilizes smart-pole data-streams reporting congestion rates across parking-area junctions. Then, a predictive analytics phase uses consolidated historical-data about past parking-dynamics, to infer a statetransition matrix showing the transformation of available spots in a parking-lot over short periods of time. Finally, this matrix is projected against similar future seasonal-periods to figure out the actual vacancy-expectation of a lot. The performance evaluation over an actual busy CBD area in Stockholm (Sweden) shows increased scalability capabilities, when further parking-resources are made available, compared to a baseline case algorithm. Using standard urban-mobility simulation packages, the traffic-congestion aware SmartPark is also shown to minimize the journey duration to the selected parking-lot while maximizing the chances to find an available spot at the selected lot.

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Digital Smart Citizenship Competence Development with a Cyber-Physical Learning Approach Supported by Internet of Things Technologies

Atif

Sergis

Sampson

2018

Digital Technologies: Sustainable Innovations for Improving Teaching and Learning

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From the Internet of Things to the web of things — enabling by sensing as-a service

Cited by 11 publications

References 21 publications

Securing Self-organizing IoT Ecosystem: A Distributed Ledger Technology Approach

Securing Self-organizing IoT Ecosystem: A Distributed Ledger Technology Approach

Internet of Things data analytics for parking availability prediction and guidance

Digital Smart Citizenship Competence Development with a Cyber-Physical Learning Approach Supported by Internet of Things Technologies

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