SensorCloud: Towards the Interdisciplinary Development of a Trustworthy Platform for Globally Interconnected Sensors and Actuators

Eggert, Michael; Häußling, Roger; Henze, Martin; Hermerschmidt, Lars; Hummen, René; Kerpen, Daniel; Pérez, Aritz; Rumpe, Bernhard; Thißen, Dirk; Wehrle, Klaus

doi:10.1007/978-3-319-12718-7_13

Cited by 18 publications

(11 citation statements)

References 35 publications

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“…The work also proposed a scheme called Statistical Group Index Matching, which can be used to transfer data to cloud applications, and evaluates it to exemplify its remarkable performance, as compared to the existing algorithms. A similar effort has been put by Eggert et al in [20]. The work highlights the challenges that will be faced due to the difficulty in understanding the diverse nature, implementation of the varied and scalable functionalities, and ensuring privacy in the sensor cloud.…”

Section: Related Workmentioning

confidence: 89%

On Theoretical Modeling of Sensor Cloud: A Paradigm Shift From Wireless Sensor Network

Misra

Chatterjee

Obaidat

2017

IEEE Systems Journal

121

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This paper focuses on the theoretical modeling of sensor cloud, which is one of the first attempts in this direction. We endeavor to theoretically characterize virtualization, which is a fundamental mechanism for operations within the sensor-cloud architecture. Existing related research works on sensor cloud have primarily focused on the ideology and the challenges that wireless sensor network (WSN)-based applications typically encounter. However, none of the works has addressed theoretical characterization and analysis, which can be used for building models for solving different problems to be encountered in using sensor cloud. We present a mathematical formulation of sensor cloud, which is very important for studying the behavior of WSN-based applications in the sensor-cloud platform. We also suggested a paradigm shift of technology from traditional WSNs to sensor-cloud architecture. A detailed analysis is made based on the performance metrics, i.e., energy consumption, fault tolerance, and lifetime of a sensor node. A thorough evaluation of the cost effectiveness of sensor cloud is also done by examining the cash inflow and outflow characteristics from the perspective of every actor of the sensor cloud. Analytical results show that the sensor-cloud architecture outperforms a traditional WSN, by increasing the sensor lifetime by 3.25% and decreasing the energy consumption by 36.68%. We also observe that the technology shift to sensor cloud reduces the expenditure of an end user by 14.72%, on average. Index Terms-Modeling and simulation of sensor clouds, sensor cloud, virtualization, wireless sensor network (WSN).

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Section: Related Workmentioning

confidence: 89%

On Theoretical Modeling of Sensor Cloud: A Paradigm Shift From Wireless Sensor Network

Misra

Chatterjee

Obaidat

2017

IEEE Systems Journal

121

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“…Especially in mobile settings, they furthermore have to cope with limited connectivity and -as they are often battery driven -a limited energy budget. These limitations are addressed by the cloud-based IoT, where the IoT is interconnected with the cloud [3][4][5][6][7][8][9]. Given that, the core idea is to upload all sensed data to the cloud, where it is stored persistently.…”

Section: Network Scenariomentioning

confidence: 99%

“…However, these smart devices often suffer from extremely constrained processing and storage resources, and a limited energy budget, as they are often powered by battery. In order to overcome these limitations, one of the most promising approaches is to interconnect the IoT with the cloud and thus benefit from the elastically scalable and always available resources provided by the cloud computing paradigm [3][4][5][6][7][8][9]. The cloud-based Internet of Things simplifies storage and processing of collected data, allows using the same data in multiple services, eases the combination of data from several users, and supports user mobility.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive approach to privacy in the cloud-based Internet of Things

Henze

Hermerschmidt

Kerpen

et al. 2016

Future Generation Computer Systems

Self Cite

173

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In the near future, the Internet of Things is expected to penetrate all aspects of the physical world, including homes and urban spaces. In order to handle the massive amount of data that becomes collectible and to offer services on top of this data, the most convincing solution is the federation of the Internet of Things and cloud computing. Yet, the wide adoption of this promising vision, especially for application areas such as pervasive health care, assisted living, and smart cities, is hindered by severe privacy concerns of the individual users. Hence, user acceptance is a critical factor to turn this vision into reality. To address this critical factor and thus realize the cloud-based Internet of Things for a variety of different application areas, we present our comprehensive approach to privacy in this envisioned setting. We allow an individual user to enforce all her privacy requirements before any sensitive data is uploaded to the cloud, enable developers of cloud services to integrate privacy functionality already into the development process of cloud services, and offer users a transparent and adaptable interface for configuring their privacy requirements.

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“…Securely outsourcing data, which is collected by small devices, to the cloud has already been proposed by related work. For example, Lounis et al [17] provide a secure cloudbased solution for health care data, while the SensorCloud project [3]- [5], [7], [18], [19] aims at providing a secure infrastructure for realizing services which operate on all kinds of sensor data. Although these approaches focus on security aspects, they do not address privacy concerns beyond providing confidentiality and access control.…”

Section: Related Workmentioning

confidence: 99%

User-Driven Privacy Enforcement for Cloud-Based Services in the Internet of Things

Henze¹,

Hermerschmidt

Kerpen³

et al. 2014

2014 International Conference on Future Internet of Things and Cloud

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Abstract-Internet of Things devices are envisioned to penetrate essentially all aspects of life, including homes and urban spaces, in use cases such as health care, assisted living, and smart cities. One often proposed solution for dealing with the massive amount of data collected by these devices and offering services on top of them is the federation of the Internet of Things and cloud computing. However, user acceptance of such systems is a critical factor that hinders the adoption of this promising approach due to severe privacy concerns. We present UPECSI, an approach for user-driven privacy enforcement for cloud-based services in the Internet of Things to address this critical factor. UPECSI enables enforcement of all privacy requirements of the user once her sensitive data leaves the border of her network, provides a novel approach for the integration of privacy functionality into the development process of cloud-based services, and offers the user an adaptable and transparent configuration of her privacy requirements. Hence, UPECSI demonstrates an approach for realizing user-accepted cloud services in the Internet of Things.

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SensorCloud: Towards the Interdisciplinary Development of a Trustworthy Platform for Globally Interconnected Sensors and Actuators

Abstract: The publications of the Department of Computer Science of RWTH Aachen University are in general accessible through the World Wide Web.

Cited by 18 publications

References 35 publications

On Theoretical Modeling of Sensor Cloud: A Paradigm Shift From Wireless Sensor Network

On Theoretical Modeling of Sensor Cloud: A Paradigm Shift From Wireless Sensor Network

A comprehensive approach to privacy in the cloud-based Internet of Things

User-Driven Privacy Enforcement for Cloud-Based Services in the Internet of Things

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