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• W2953249628 abstract "We consider the problem of diffusing information in networks that contain malicious nodes. We assume that each normal node in the network has no knowledge of the network topology other than an upper bound on the number of malicious nodes in its neighborhood. We introduce a topological property known as r-robustness of a graph, and show that this property provides improved bounds on tolerating malicious behavior, in comparison to traditional concepts such as connectivity and minimum degree. We use this topological property to analyze the canonical problems of distributed consensus and broadcasting, and provide sufficient conditions for these operations to succeed. Finally, we provide a construction for r-robust graphs and show that the common preferential-attachment model for scale-free networks produces a robust graph." @default.
• W2953249628 created "2019-06-27" @default.
• W2953249628 creator A5046887099 @default.
• W2953249628 creator A5076731201 @default.
• W2953249628 date "2011-10-17" @default.
• W2953249628 modified "2023-09-25" @default.
• W2953249628 title "Robustness of Information Diffusion Algorithms to Locally Bounded Adversaries" @default.
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• W2953249628 doi "https://doi.org/10.48550/arxiv.1110.3843" @default.
• W2953249628 hasPublicationYear "2011" @default.
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