The software package can be obtained upon request from Marta Szachniuk.

It becomes possible to take advantage of seamless biometric authentication on mobile devices due to increasing quality and quantity of built-in sensors, increasing processing power of the devices, and wireless connectivity. However, practical effectiveness of the biometric authentication application depends on user's environment conditions that can decrease the accuracy of biometrics recognition or make the acquisition process undesirable for mobile user in a given moment, i.e., effectiveness depends on usage context. In this paper, context-based biometric authentication model for mobile devices is proposed. It enables determining the most accurate authentication method at the moment along with the most accurate form of interacting with a user w.r.t. authentication process. The generic model designed and verified with proof-of-concept implementation constitutes a foundation for building further adaptable and extensible multi-factor context-dependent systems for mobile authentication.

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The paper presents a Web-based educational platform that provides a novel easy-to-use and secure environment designed to help teachers employ modern ICT technologies, and specifically Web 2.0 tools, in the education process. The platform enables decentralized creation, management and sharing of learning content. A key element of the platform is access control system, which enables the platform to be efficiently and securely managed by a distributed community of educationalists.