Evan Welbourne

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At the University of Washington, the RFID ecosystem creates a microcosm for the Internet of Things. The authors developed a suite of Web-based, user-level tools and applications designed to empower users by facilitating their understanding, management, and control of personal RFID data and privacy settings. They deployed these applications in the RFID(More)
Recently, several cases of mild traumatic brain injury to American professional football players have been reconstructed using instrumented Hybrid III anthropomorphic test dummies ATDs. The translational and rotational acceleration responses of injured and uninjured players' heads have been documented. The acceleration data have been processed according to(More)
In this paper, we introduce a compact system for fusing location data with data from simple, low-cost, non-location sensors to infer a user’s place and situational context. Specifically, the system senses location with a GSM cell phone and a WiFi-enabled mobile device (each running Place Lab), and collects additional sensor data using a 2” x 1” sensor board(More)
To protect the privacy of RFID data after an authorized system captures it, this policy-based approach constrains the data users can access to system events that occurred when and where they were physically present. RFID security is a vibrant research area, with many protection mechanisms against unauthorized RFID cloning and reading attacks emerging.(More)
Cascadia is a system that provides RFID-based pervasive computing applications with an infrastructure for specifying, extracting and managing meaningful high-level events from raw RFID data. Cascadia provides three important services. First, it allows application developers and even users to specify events using either a declarative query language or an(More)
T he rapid proliferation of passive RFID tags in the past decade has given rise to various concepts that integrate the physical world with the virtual one. One of the most popular is the Internet of Things (IoT), a vision in which the Internet extends into our everyday lives through a wireless network of uniquely identifiable objects. Given numerous(More)
The success of RFID in supply chain management is leading many to consider more personal and pervasive deployments of this technology. Unlike industrial settings, however, deployments that involve humans raise new and critical problems related to privacy, security, uncertainty, and a more diverse and evolving set of applications. At the University of(More)
Radio Frequency IDentification (RFID) deployments are becoming increasingly popular in both industrial and consumer-oriented settings. To effectively exploit and operate such deployments, important challenges must be addressed, from managing RFID data streams to handling limitations in reader accuracy and coverage. Furthermore, deployments that support(More)
In this paper, we design a rule-based privacy policy for the RFID Ecosystem, an RFID-based ubiquitous computing system. We start from the physical access control (PAC) rule (Kriplean et al., IEEE Pervasive Computing 2007) that provides a default level of privacy but constrains the possible set of applications. We extend it by using principled ways of(More)
Access control is the problem of regulating access to secret information based on certain context information. In traditional applications, context information is known exactly, permitting a simple allow/deny semantics. In this paper, we look at access control when the context is itself uncertain. Our motivating application is RFID data management, in which(More)