scholarly journals PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1519 ◽  
Author(s):  
Jonas Cesconetto ◽  
Luís Augusto Silva ◽  
Fabricio Bortoluzzi ◽  
María Navarro-Cáceres ◽  
Cesar A. Zeferino ◽  
...  
Keyword(s):  
Pervasive Computing ◽  
User Profiling ◽  
Management Tool ◽  
Smart Sensors ◽  
Smart Environments ◽  
Android Application ◽  
Sensitive Data ◽  
Computing Systems ◽  
Daily Routines ◽  
Comfort Levels

Smart environments are pervasive computing systems that provide higher comfort levels on daily routines throughout interactions among smart sensors and embedded computers. The lack of privacy within these interactions can lead to the exposure of sensitive data. We present PRIPRO (PRIvacy PROfiles), a management tool that includes an Android application that acts on the user’s smartphone by allowing or blocking resources according to the context, in order to address this issue. Back-end web server processes and imposes a protocol according to the conditions that the user selected beforehand. The experimental results show that the proposed solution successfully communicates with the Android Device Administration framework, and the device appropriately reacts to the expected set of permissions imposed according to the user’s profile with low response time and resource usage.

A Security Architecture Based on Trust Management for Pervasive Computing Systems

2005 ◽  
Author(s):  
Lalana Kagal ◽  
Jeffrey Undercoffer ◽  
Filip Perich ◽  
Anupam Joshi ◽  
Tim Finin
Keyword(s):  
Pervasive Computing ◽  
Trust Management ◽  
Security Architecture ◽  
Computing Systems

Ontology-based models in pervasive computing systems

2007 ◽  
Vol 22 (4) ◽  
pp. 315-347 ◽  
Author(s):  
JUAN YE ◽  
LORCAN COYLE ◽  
SIMON DOBSON ◽  
PADDY NIXON
Keyword(s):  
Pervasive Computing ◽  
Information Exchange ◽  
Next Generation ◽  
Computing Systems ◽  
Diverse Range ◽  
Shared Representations ◽  
Pervasive Systems ◽  
Structured Information ◽  
Compare And Contrast

AbstractPervasive computing is by its nature open and extensible, and must integrate the information from a diverse range of sources. This leads to a problem of information exchange, so sub-systems must agree on shared representations. Ontologies potentially provide a well-founded mechanism for the representation and exchange of such structured information. A number of ontologies have been developed specifically for use in pervasive computing, none of which appears to cover adequately the space of concerns applicable to application designers. We compare and contrast the most popular ontologies, evaluating them against the system challenges generally recognized within the pervasive computing community. We identify a number of deficiencies that must be addressed in order to apply the ontological techniques successfully to next-generation pervasive systems.

scholarly journals Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments

2015 ◽  
Vol 7 (3) ◽  
pp. 17-50
Author(s):  
Giorgos Siolas ◽  
George Caridakis ◽  
Phivos Mylonas ◽  
Giorgos Stratogiannis ◽  
Stefanos Kollias ◽  
...  
Keyword(s):  
Pervasive Computing ◽  
Smart Home ◽  
User Modeling ◽  
Collective Intelligence ◽  
Context Modeling ◽  
Home Environments ◽  
Computing Systems ◽  
Knowledge Based ◽  
Context Cues ◽  
Smart Home Environments

The current paper provides an overview on how user modeling, context awareness and content adaptation in Smart Home environments may be handled formally in order to capture the semantics that emerge from a newly introduced user experience: SandS is in fact a complete ecosystem of users within a social network, creating and exchanging content in the form of so-called recipes and developing a collective intelligence which adapts its operation through appropriate feedback provided by the user. The authors will approach SandS from the user's perspective and illustrate how users and their relationships can be modeled through a number of fuzzy stereotypical profiles. Additionally, context modeling in pervasive computing systems and especially in the Smart Home paradigm will be examined through appropriate representation of context cues in the overall interaction. Finally, the authors will investigate how users and system services although using languages of different semantic expressiveness can inter-operate successfully thanks to appropriate knowledge-based expert mappings.

Pervasive Computing

2010 ◽  
pp. 234-252
Author(s):  
Varuna Godara
Keyword(s):  
Grid Computing ◽  
Science Fiction ◽  
Pervasive Computing ◽  
Ambient Intelligence ◽  
New Products ◽  
Value Systems ◽  
Smart Environments ◽  
Fiction Writers ◽  
Computing Grid ◽  
Networking Technologies

Pervasive computing is trying to make the dreams of the science fiction writers come true—where you think of some type of convenience and you have it. It appears that pervasive computing is allowing tiny computers, sensors, networking technologies, and human imagination to blend and mould into new products and services. This chapter introduces pervasive computing, grid computing, and ambient intelligence with explanation of how these technologies are merging to create sensor embedded smart environments. Along with description and scope of e-business and m-business, different views of p-business are illustrated. Finally, different smart environments including smart consumer-to-consumer, smart value systems, smart p-education, p-governance, and so forth, are explained.

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