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In this paper, we propose a context-aware Input Method Editor (IME) as a ubiquitous service for improving the input of text on mobile devices. In our proposed IME, it estimates the context of users according to position information from GPS (Global Positioning System) sensor or a presence information from the Internet. Simultaneously, it generates a personal context-aware dictionary dynamically from...
As trust management can address the new security challenges in pervasive computing environments, we present our pervasive trust model TM-RMRP which is composed of input factors and trust evaluation. With the model presented, anonymous entities can collaborate with trustful parties without central security managers. To reduce or even avoid inappropriate or inaccurate recommendations, we introduce the...
This paper proposes an extended RBAC model for countering insider misuse, which provides scalability and flexibility. Multi-level security and context-awareness are introduced into the model to fit in with the particular appliance. A mechanism for insider misuse prevention is presented based on the model. To detect and prevent insider misbehavior, the insider's behavior pattern is analyzed and the...
Research on ubiquitous environment has been being conducted actively until now. In particular, a user positioning system provides user location data, which is the most important context information in applications based on context information. Despite their many advantages, existing applications, which do not consider elements related to real-time data communication among remote RFID devices, cannot...
Context management systems allow services and application easy access to remote dynamic context elements, in turns allow these to adapt to the users context. The fact that most information is dynamic and changes value over time, leads to potential risk of obtaining information mismatching the true value due to the communication delay. The probability for this we call the mismatch probability. Obtaining...
Energy-efficient determination of an individual's context (both physiological and activity) is an important technical challenge for assisted living environments. Given the expected availability of multiple sensors, context determination may be viewed as an estimation problem over multiple sensor data streams. This paper develops a formal and practically applicable model to capture the tradeoff between...
We consider distributed state estimation and fusion in autonomic adhoc sensor networks when some nodes are untrusted, corrupted or malicious. We provide rigorous graph models to capture both trust and network functionality relations. We propose a novel hierarchical scheme, inspired from socio-cognitive dynamics in economics and sociology, that utilizes a trusted core. We provide a component-based...
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