Titlebook: UbiComp 2007: Ubiquitous Computing; 9th International Co John Krumm,Gregory D. Abowd,Thomas Strang Conference proceedings 2007 Springer-Ver

cinder

cogent

At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Pow-occupancy research studies. Many existing systems for detecting occupant activity require large numbers of sensors, invasive vision systems, or extensive installation procedures. We present an approach that uses a single plug-in sensor to detect a variety of electrical events throughout the home. T

Paleontology

epidermis

Key Generation Based on Acceleration Data of Shaking Processes,hich in term impose questions on effective and user-friendly unobtrusive ways for key distribution. In this paper, we present a novel approach to establish a secure connection between two devices by shaking them together. Instead of distributing or exchanging a key, the devices independently generat

杀死

GUILT

intention

Ninja: Non Identity Based, Privacy Preserving Authentication for Ubiquitous Environments,quitous environment, in which the trustworthiness of a user’s device is authenticated anonymously to a remote Service Provider (verifier), during the service discovery process. We show how this can be achieved using Trusted Computing functionality.

低位的人或事

An Exploration of Location Error Estimation,f error, we design practical algorithms for estimating the error of a location prediction. Analysis of the algorithms shows a median estimation inaccuracy of up to 50. from the predicted location’s true error.

使习惯于

Security by Spatial Reference: Using Relative Positioning to Authenticate Devices for Spontaneous Itial relationship of the involved devices. Spatial references are obtained by accurate sensing of relative device positions, presented to the user for initiation of interactions, and used in a peer authentication protocol that exploits a novel mechanism for message transfer over ultrasound to ensures spatial authenticity of the sender.

驳船

,An ‘Object-Use Fingerprint’: The Use of Electronic Sensors for Human Identification,troduced by the most important feature type. Although our experiment is preliminary, the results are encouraging: we are able to do identification with an overall accuracy rate of 97%, including correctly recognizing each individual in at least 9 of 10 trials.