Peer-to-Peer systems have become a substantial element in computer networking. Distributing the load and splitting complex tasks are only some reasons why many developers have come to adopt this technology. However, all of them face a severe problem at the very beginning: setting up an overlay network, such that other clients can easily join it. With an empty peer cache common bootstrapping methods require some manually triggered actions for discovering a peer on the overlay. We therefore introduce an approach for an automated bootstrapping based on DDNS. In this paper we give detailed information about our protocol and document its efficiency and scalability.

Human behavior and housing resist every standardization effort. Many aspects such as different technical equipment, furniture, and usage patterns make our surroundings as individual as ourselves. Thus, the personalization of pervasive applications is a fundamental requirement. To enable the development of custom pervasive applications, we propose a software development process. This process is based on the successful process for modern desktop applications. There, developers create extensible applications and components. Customizers use the resulting artifacts to develop custom applications. Finally, users configure applications to their individual needs by adjusting predefined settings. To adopt this process for pervasive computing, we present a component system for developers, a graphical toolkit for customizers, and self-configuration algorithms to ease the deployment

Wireless sensor networks based on highly resource-constrained devices require symmetric cryptography in order to make them secure. Integral to this is the exchange of unique symmetric keys between two devices. In this paper, we propose a novel decentralized key exchange protocol that guarantees the confidentiality of a key exchange even if an attacker has compromised some of the devices in the network. A central objective of the protocol design was to minimize resource consumption on the individual devices. We evaluate the resource requirements of our protocol in terms of memory requirements, CPU usage and network traffic both through theoretical analysis and through simulations.