Yung-Ting Chuang

Learn More
This paper describes a novel information distribution and retrieval system, named iTrust, that operates over HTTP and the Internet and that provides trustworthy access to information. iTrust is a completely distributed system, with no centralized mechanisms and no centralized control, that avoids subversion or censorship of information. Individuals submit(More)
This paper describes iTrust, a novel distributed search and retrieval system that provides trustworthy access to information over the Internet. Nodes with information to distribute transmit their metadata to nodes that are selected at random from a set of participating nodes. Similarly, nodes seeking information distribute their requests to nodes that are(More)
Events over the past year have demonstrated the utility of mobile devices for coordinating mass gatherings and organizing protests in support of social change. However, governments have countered by censoring or disabling centralized search services and social networking sites. This paper describes a decentralized search and retrieval system, named iTrust,(More)
This paper presents novel statistical algorithms for protecting the iTrust information retrieval network against malicious attacks. In iTrust, metadata describing documents, and requests containing keywords, are randomly distributed to multiple participating nodes. The nodes that receive the requests try to match the keywords in the requests with the(More)
This paper describes peer management for the iTrust peer-to-peer information publication, search and retrieval system using Wi-Fi Direct in a mobile ad-hoc network. We present the fundamental concept of the iTrust mobile ad-hoc network, the capabilities and limitations of Wi-Fi Direct on the Android platform, and our novel algorithm for managing peer(More)
The iTrust search and retrieval network aims to provide trustworthy access to information on the Web by making it difficult to censor or filter information. The declustering algorithm, presented in this paper, randomizes the network in a manner that reduces the clustering, or cliquishness, of the network. This randomization also reduces the necessary amount(More)
This paper presents novel statistical algorithms for detecting and defending against malicious attacks in the iTrust information retrieval network. The novel detection algorithm determines empirically the probabilities of the exact numbers of matches based on the number of responses that the requesting node receives. It calculates analytically the(More)