Middleware for Pervasive Spaces: Balancing Privacy and Utility

Massaguer, Daniel; Hore, Bijit; Diallo, Mamadou H.; Mehrotra, Sharad; Venkatasubramanian, Nalini

doi:10.1007/978-3-642-10445-9_13

Cited by 14 publications

(13 citation statements)

References 27 publications

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“…Much research on these topics already exists (see, e.g., Chen and Varshney (2004), Massaguer et al (2009), andRen et al (2011);Zhou et al (2008) respectively), but has been hampered by a lack of clear definitions in the context of sensor networks. As applications relying on sensors and sensor networks become ubiquitous, research on Quality of Service, Privacy, and Security will most likely regain momentum.…”

Section: Discussionmentioning

confidence: 99%

An overview of centralised middleware components for sensor networks

Onderwater

2016

IJAHUC

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Sensors are increasingly becoming part of our daily lives: motion detection, lighting control, environmental monitoring, and keeping track of energy consumption all rely on sensors. Combining data from this wide variety of sensors will result in new and innovative applications. However, access to these sensors -or the networks formed by them -is often provided via proprietary protocols and data formats, thereby obstructing the development of applications. To overcome such issues, middleware components have been employed to provide a universal interface to the sensor networks, hiding vendor-specific details from application developers. The scientific literature contains many descriptions of middleware components for sensor networks, with ideas from various fields of research. Recently, much attention in literature is aimed at what we, in this paper, define as 'centralised' middleware components. These components consider sensor networks that have no capacity -in terms of memory, data storage, and cpu power -to run middleware components (partially) on the sensor nodes. Often, viewed from the position of the middleware component, these sensor networks function as simple data providers for applications.In this paper we introduce the term 'centralised' for such middleware components, guided by a literature review of existing middleware components for sensor networks. We describe their general architecture, give a description of a representative set of four centralised middleware components, and discuss advantages and disadvantages of these components. 1Finally, we identify directions of further research that will impact centralised middleware systems in the near future.

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Section: Discussionmentioning

confidence: 99%

An overview of centralised middleware components for sensor networks

Onderwater

2016

IJAHUC

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“…The issue of balancing privacy requirements and operational capabilities is also addressed in other fields apart from the smart grid: Oliveira and Zaiane [6] present algorithms for balancing privacy constraints in data mining applications. Massaguer et al [7] discuss a middleware for pervasive spaces. Their focus is on finding the trade-off between privacy and utility of such a middleware.…”

Section: Related Workmentioning

confidence: 99%

Model-based assessment for balancing privacy requirements and operational capabilities in the smart grid

Knirsch

Engel

Frîncu

et al. 2015

2015 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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Abstract-The smart grid changes the way energy is produced and distributed. In addition both, energy and information is exchanged bidirectionally among participating parties. Therefore heterogeneous systems have to cooperate effectively in order to achieve a common high-level use case, such as smart metering for billing or demand response for load curtailment. Furthermore, a substantial amount of personal data is often needed for achieving that goal. Capturing and processing personal data in the smart grid increases customer concerns about privacy and in addition, certain statutory and operational requirements regarding privacy aware data processing and storage have to be met. An increase of privacy constraints, however, often limits the operational capabilities of the system. In this paper, we present an approach that automates the process of finding an optimal balance between privacy requirements and operational requirements in a smart grid use case and application scenario. This is achieved by formally describing use cases in an abstract model and by finding an algorithm that determines the optimum balance by forward mapping privacy and operational impacts. For this optimal balancing algorithm both, a numeric approximation and -if feasible -an analytic assessment are presented and investigated. The system is evaluated by applying the tool to a real-world use case from the University of Southern California (USC) microgrid.

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“…But while some projects focus on abstracting the devices in the network as services (such as in HYDRA [1][2][3], SENSEI [4], SOCRADES [5], and COBIS [6]), other projects devote more attention to data/information abstractions and their integrations with services (among which are SOFIA 1 [7], SATware [8], and Global Sensor Networks GSN [9]). A common thread throughout all of these solutions, however, is that they handle the challenge of unknown topology through the use of discovery methods that are largely based on the traditional service/resource discovery approaches of the existing Internet, ubiquitous environments and Wireless Sensor & Actuator Networks [10][11][12].…”

Section: Related Workmentioning

confidence: 99%

Service Oriented Middleware for the Internet of Things: A Perspective

Teixeira

Hachem

Issarny

et al. 2011

Towards a Service-Based Internet

103

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Abstract. The Internet of Things plays a central role in the foreseen shift of the Internet to the Future Internet, as it incarnates the drastic expansion of the Internet network with non-classical ICT devices. It will further be a major source of evolution of usage, due to the penetration in the user's life. As such, we envision that the Internet of Things will cooperate with the Internet of Services to provide users with services that are aware of their surrounding environment. The supporting service-oriented middleware shall then abstract the functionalities of Things as services as well as provide the needed interoperability and flexibility, through a loose coupling of components and composition of services. Still, core functionalities of the middleware, namely service discovery and composition, need to be revisited to meet the challenges posed by the Internet of Things. Challenges in particular relate to the ultra large scale, heterogeneity and dynamics of the Internet of Things that are far beyond the ones of today's Internet of Services. In addition, new challenges also arise, pertaining to the physical-world aspect that is central to the IoT. In this paper, we survey the major challenges posed to service-oriented middleware towards sustaining a service-based Internet of Things, together with related state of the art. We then concentrate on the specific solutions that we are investigating within the INRIA ARLES project team as part of the CHOReOS European project, discussing new approaches to overcome the challenges particular to the Internet of Things.

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Middleware for Pervasive Spaces: Balancing Privacy and Utility

Cited by 14 publications

References 27 publications

An overview of centralised middleware components for sensor networks

An overview of centralised middleware components for sensor networks

Model-based assessment for balancing privacy requirements and operational capabilities in the smart grid

Service Oriented Middleware for the Internet of Things: A Perspective

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