Catálogo de publicaciones - libros

In a wireless network that uses 802.1X Port Access Control, the wireless station plays the role of the Remote User and the wireless AP plays the role of the Network Access Server (NAS). However, Security problem for user authentication has been increased on existing IEEE 802.11 wireless network. However, brute force dictionary attack can be launched against the shared secret on existing IEEE802.1x (EAP-MD5, EAP-TLS, EAP-TTLS) protocols or security systems. Therefore, we overview main problem on existing EAP-MD5 authentication mechanism on Wireless LAN and propose a SMS(Short Message Service) based secure authentication and accounting mechanism for providing security enhanced wireless network transactions against those attacks.

In this paper, a Conflict Control Manager (CCM) for a ubiquitous services system is presented to prevent the mode confusion of humans. CCM consists of a lock-based conflict detection module and a D-PRI (dynamic priority)-based conflict resolution. By means of CCM, the mode confusion can drastically be reduced, and, as a result, CCM can assist in designing and implementing a human-centered ubiquitous environment. Through a case study, it is observed that CCM can successfully detect and resolve the runtime conflicts caused by multiple devices interconnected in a ubiquitous environment. It can also be used to detect the potential conflict risk during the service registering phase so that computerized devices are deployed to improve the human interactions with them.

The study of Digital Territories provides a way to conceptualize the interactions happening in Pervasive Computing Environments. This paper will address Crisis Rooms as Digital Territories. Based on the concepts stemming from Digital Territories we will attempt to give a high level overview of issues that can be applicable in the context of the future Crisis rooms and of the interactions that happen within them.

In this paper we present a procedure to learn a topological model of Situated Public Displays from data of people traveling between these displays. This model encompasses the distance between different displays in seconds for different ways and/or different travel modes. It also shows how many people travel between displays in each direction. Thus, the model can be used to predict where and when people will appear next after showing up in front of one display. This can be used for example to create continuous ‘shows’ spanning multiple displays while people pass them. To create the model, we use Bluetooth connection data of mobile phones people carry, and employ the EM algorithm to estimate mean travel times for different paths people take.

Efficient and effective treatment of chronic disease conditions requires the implementation of emerging continuous care models. These models pose several technology-oriented challenges for home-based continuous care, requiring assistance services based on collaboration among different stakeholders: health operators, patient relatives, as well as social community members. This work describes a context-aware service platform designed for improving patient quality of life by supporting care team activity, intervention and cooperation. Leveraging on an ontology-based context management middleware, the proposed architecture exploits information coming from biomedical and environmental sensing devices and from patient social context in order to automate context-aware patient case management, especially for alarm detection and management purposes.

The evolution to ubiquitous information and communication networks is evident. Technology is emerging that connects everyday objects and embeds intelligence in our environment. In the Internet of Things, smart objects collect context information from various sources to turn a static environment into a smart and proactive one. Managing the ambiguous nature of context information will be crucial to select relevant information for the tasks at hand. In this paper we present a vector space model that uses context quality parameters to manage context ambiguity and to identity irrelevant context providers. We also discuss backpropagation applied in the network architecture to filter unused context information in the network as close to the source as possible. Experiments show that our contribution not only reduces the amount of useless information a smart object deals with, but also the distribution of unused context information throughout the network architecture.

Recent advances in ubiquitous computing have evoked the prospect of real-time monitoring of people’s health in context-aware homes. Home is the most private place for people and health information is of highly intimate nature. Therefore, must have means to benefit from home healthcare and preserve privacy as well. However, most smart home healthcare systems currently lack support for privacy management for home inhabitants. In this paper, we analyze the privacy needs of smart home inhabitants utilizing a healthcare system and present a conceptual framework to manage disclosure of their personal health information. The proposed framework supports sharing the most meaningful detail of personal health information at different time granularities with different recipients in different contexts. To relieve the burden of configuration, default disclosure settings are provided, and to ensure end-user’s control over disclosure, the option to override default settings is included.

This paper presents a novel concept for personalized privacy support on large public displays. In a first step, a formative evaluation was conducted in order to analyze the requirements of potential users regarding the protection of private information on large public displays. The insights gained in this evaluation were used to design a system, which automatically adapts the information visible on public displays according to the current social situation and the individual privacy preferences of the user working on the display. The developed system was evaluated regarding its appropriateness for daily usage and its usefulness to protect privacy.

An Ambient Intelligence Research Facility is being set up at ICS-FORTH, with the goal of providing an experimentation platform for Ambient Intelligence (AmI) technologies and for studying their potential impact on users as individuals and as society. This paper discusses the opportunities that such a facility will offer towards the investigation of AmI from a Universal Access perspective, focusing in particular on issues related to Design for All.

We introduce our human-centered approach for the purpose of developing a ubiquitous computing system aiming at providing better experiences for shoppers at a supermarket. We focus on shopping processes by using ethnographic research techniques, understand the process with details, and construct TPM which classifies a shopper’s behaviors and states of mind change into three phases. We also describe our concept design of service types for a prototype system and deal with allocation and configuration of the service types corresponding to TPM.