Data Protection and Data Sharing in Telematics

Duri, Sastry S.; Elliott, Jeffrey A.; Gruteser, Marco; Li, Xuan; Moskowitz, P. A.; Perez, Ronald; Singh, Moninder; Tang, Jung-Mu

doi:10.1023/b:mone.0000042507.74516.00

Cited by 25 publications

(13 citation statements)

References 13 publications

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“…Organization of interactions requires the use of conceptual ideas of data protection in a joint experimental data cyberspace (Chen & Zhao, 2012;Duri et al, 2004). The typical system that requires privacy protection is an open educational environment that contains information about students and their personal results (Yoon, Hwang & Kim, 2012).…”

Section: Literatures Reviewingmentioning

confidence: 99%

Cooperative Research Projects of Master’s Students (Education Programs) in the Open Informational Educational Environment

Cao

Kirilova

Grunis

2017

EURASIA J MATH SCI T

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Relevance of the research problem stems from the need to meet the challenges of personal growth of each participant of the educational process, a productive exchange of information and personalized contribution to the overall result of the conducted educational research. The aim of this paper is to improve joint training activities as the basis for future studies of masters that will be implemented in an open information and education space. The key approach to the study of the problems of the joint educational researches relies on the conceptual ideas of experiments conducting in joint environment in which access to individual and shared data in an open information education environment is restricted. Theoretical and technological tools were developed for working with factorial data of collaborative research in open educational environment. As a result these conceptual ideas were formulated for joint training of master's studies: the stages to improve joint research activities were grounded, the technology of forming joint bank of comparable research materials was created, the system of algorithms for collaborative (joint) working with experimental data was proposed, the strategy ensuring the adequacy of the joint pilot materials for attaining general and private purposes was worked out. This strategy also should be applied to the value and usefulness of collected data. The collected, studied, processed and presented in the paper unique experimental material can be useful both for solving current individual research tasks of undergraduates and for the development of new roles in research.

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Section: Literatures Reviewingmentioning

confidence: 99%

Cooperative Research Projects of Master’s Students (Education Programs) in the Open Informational Educational Environment

Cao

Kirilova

Grunis

2017

EURASIA J MATH SCI T

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“…As mentioned in Duri et al (2004) mobile agents are used to tamper resistant hardware to protect privacy. Parties requesting access to private information receive mobile agents that encapsulate private data and access control policies.…”

Section: Multi-agents In Vehicle Telematicsmentioning

confidence: 99%

“…Some papers (Chen et al, 2003;Duri et al, 2004;Finnegan and Sirota, 2004;Moskowitz et al, 2002) proposed other information to be gathered by the vehicle recording devices which can be used for analysis of vehicle crashes. This includes acceleration, speed, engine RPM and throttle, ignition cycle, air bag and safety belts.…”

Section: Illustration Of Data Collected Using Vehicle Telematics Devicesmentioning

confidence: 99%

A framework for discovering relevant patterns using aggregation and intelligent data mining agents in telematics systems

Gerardo

Lee

2009

Telematics and Informatics

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“…CloudThink is an unbiased data broker that ensures customers' data is securely transferred to application clients who process the data to produce benefits for drivers. In doing so, it highly emphasizes user privacy, an important yet often neglected issue particularly in telematics (Duri et al, 2004(Duri et al, , 2002Iqbal and Lim, 2010;Musicant et al, 2010). The strategy guiding the research and development of CloudThink is modelled after the highly successful approach taken by Sanjay Sarma to standardize RFID technology in founding the Auto-ID labs and its corresponding industry organization EPCglobal which provided a much-needed link between research and industrial commercialization (Sarma, 2004).…”

Section: Introductionmentioning

confidence: 99%

Cloudthink: A Scalable Secure Platform for Mirroring Transportation Systems in the Cloud

et al. 2015

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Abstract. We present a novel approach to developing a vehicle communication platform consisting of a low-cost, open-source hardware for moving vehicle data to a secure server, a Web Application Programming Interface (API) for the provision of third-party services, and an intuitive user dashboard for access control and service distribution. The CloudThink infrastructure promotes the commoditization of vehicle telematics data by facilitating easier, flexible, and more secure access. It enables drivers to confidently share their vehicle information across multiple applications to improve the transportation experience for all stakeholders, as well as to potentially monetize their data. The foundations for an application ecosystem have been developed which, taken together with the fair value for driving data and low barriers to entry, will drive adoption of CloudThink as the standard method for projecting physical vehicles into the cloud. The application space initially consists of a few fundamental and important applications (vehicle tethering and remote diagnostics, road-safety monitoring, and fuel economy analysis) but as CloudThink begins to gain widespread adoption, the multiplexing of applications on the same data structure and set will accelerate its adoption.

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Data Protection and Data Sharing in Telematics

Cited by 25 publications

References 13 publications

Cooperative Research Projects of Master’s Students (Education Programs) in the Open Informational Educational Environment

Cooperative Research Projects of Master’s Students (Education Programs) in the Open Informational Educational Environment

A framework for discovering relevant patterns using aggregation and intelligent data mining agents in telematics systems

Cloudthink: A Scalable Secure Platform for Mirroring Transportation Systems in the Cloud

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