Counteracting Active Attacks in Social Network Graphs

Abstract : The growing popularity of social networks has generated interesting data analysis problems. At the same time, it has raised important privacy concerns, because social networks contain personal and sensitive information. Consequently, social graphs, which express the relations between the actors in a social network, ought to be sanitized or anonymized before being published. Most work on privacy-preserving publication of social graphs has focused on dealing with passive attackers while active attackers have been largely ignored. Active attackers can affect the structure of the social network graphs actively and use structural information, as a passive attacker does, to re-identify a user in a social graph. In this article we propose, to the best of our knowledge, the first anonymization method that resists to active attacks.
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Communication dans un congrès
Silvio Ranise; Vipin Swarup. 30th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2016, Trento, Italy. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9766, pp.233-248, 2016, Data and Applications Security and Privacy XXX. 〈10.1007/978-3-319-41483-6_17〉
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Sjouke Mauw, Rolando Trujillo-Rasua, Bochuan Xuan. Counteracting Active Attacks in Social Network Graphs. Silvio Ranise; Vipin Swarup. 30th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2016, Trento, Italy. Springer International Publishing, Lecture Notes in Computer Science, LNCS-9766, pp.233-248, 2016, Data and Applications Security and Privacy XXX. 〈10.1007/978-3-319-41483-6_17〉. 〈hal-01633668〉

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