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| Extensions to Automated Trust Negotiation |
Project Summary: In typical ad-hoc networks, nodes range from laptops to small units such as sensors. The mobility and changing availability of nodes fundamentally alter the requirements for trust establishment in these environments. Automated trust negotiation (ATN) is a method that lets two strangers safely conduct interactions in order to create a level of mutual trust. In this method, credentials signed by certificate authorities are exchanged through an iterative disclosure process that allows each credential to have a disclosure policy. Previous two-party trust negotiation schemes haven't given satisfactory solutions for some practical situations, such as cyclic interdependencies in credential disclosure policies and the inefficiency of applying a one-to-one approach with multiple parties. In mobile ad-hoc networks, trust relationships (such as those defining ad-hoc groups) may also need to be updated dynamically in the face of connectivity limitations introduced by mobile or intermittently active nodes.
This project addresses these limitations and extends two party trust negotiation to include third parties using two different schemes. In addition to being analyzed and tested, these schemes have been used to study three different application areas: (1) streaming content distribution, (2) content search, and (3) mobile computing. In each application, there is a potential for widespread practical applications on the Internet. All three applications have been analyzed and integrated under a uniform trust management platform. This work is particularly important in peer-to-peer (P2P) environments, where collaborations take place among parties who do not know each other, and in sensor networks.
Outcome
We have now completed the core features planned for our prototype and have extended the original project goals to add a recommendation module and an encryption module, and have tested our tool in a file sharing application in a P2P network setting. We will continue developing additional applications, starting with coordination and control of robotic systems, and will also be refining our prototype for distribution.
We have begun a collaboration with the Automation and Robotics Research Institute (ARRI), a research center located at the University of Texas at Arlington, to extend the ideas developed under this project by developing a derivative data exchange, coordination, and control system for robotic and sensor applications.
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