@inproceedings{b480376dc6e14bbe8ae616396a0332f9,
title = "Contrasting false identities in social networks by trust chains and biometric reinforcement",
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.",
keywords = "Keystroke dynamics, Social networks, Trust",
author = "Francesco Buccafurri and Gianluca Lax and Denis Migdal and Serena Nicolazzo and Antonino Nocera and Christophe Rosenberger",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Cyberworlds, CW 2017 ; Conference date: 20-09-2017 Through 22-09-2017",
year = "2017",
month = nov,
day = "27",
doi = "10.1109/CW.2017.42",
language = "English",
series = "Proceedings - 2017 International Conference on Cyberworlds, CW 2017 - in cooperation with: Eurographics Association International Federation for Information Processing ACM SIGGRAPH",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "17--24",
booktitle = "Proceedings - 2017 International Conference on Cyberworlds, CW 2017 - in cooperation with",
address = "United States",
}