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• W2775353043 abstract "Fake identities and identity theft are issues whose relevance is increasing in the social network domain. This paper deals with this problem by proposing an innovative approach which combines a collaborative mechanism implementing a trust graph with keystroke-dynamic-recognition techniques to trust identities. The trust of each node is computed on the basis of neighborhood recognition and behavioral biometric support. The model leverages the word of mouth propagation and a settable degree of redundancy to obtain robustness. Experimental results show the benefit of the proposed solution even if attack nodes are present in the social network." @default.
• W2775353043 created "2017-12-22" @default.
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• W2775353043 date "2017-09-01" @default.
• W2775353043 modified "2023-09-24" @default.
• W2775353043 title "Contrasting False Identities in Social Networks by Trust Chains and Biometric Reinforcement" @default.
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• W2775353043 doi "https://doi.org/10.1109/cw.2017.42" @default.
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