The dining cryptographers problem: unconditional sender and recipient untraceability
Journal of Cryptology
Reasoning about knowledge
Crowds: anonymity for Web transactions
ACM Transactions on Information and System Security (TISSEC)
Untraceable electronic mail, return addresses, and digital pseudonyms
Communications of the ACM
Anonymous Connections and Onion Routing
SP '97 Proceedings of the 1997 IEEE Symposium on Security and Privacy
Private social network analysis: how to assemble pieces of a graph privately
Proceedings of the 5th ACM workshop on Privacy in electronic society
Proceedings of the 16th international conference on World Wide Web
AAIM '08 Proceedings of the 4th international conference on Algorithmic Aspects in Information and Management
Revisiting a combinatorial approach toward measuring anonymity
Proceedings of the 7th ACM workshop on Privacy in the electronic society
Preserving Privacy in Social Networks Against Neighborhood Attacks
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Towards an information theoretic metric for anonymity
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
Preserving the privacy of sensitive relationships in graph data
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Measuring anonymity in a non-adaptive, real-time system
PET'04 Proceedings of the 4th international conference on Privacy Enhancing Technologies
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In this work we address the Anonymous Subgraph Problem (ASP). The problem asks to decide whether a directed graph contains anonymous subgraphs of a given family. This problem has a number of practical applications and here we describe three of them (Secret Santa Problem, anonymous routing, robust paths) that can be formulated as ASPs. Our main contributions are (i) a formalization of the anonymity property for a generic family of subgraphs, (ii) an algorithm to solve the ASP in time polynomial in the size of the graph under a set of conditions, and (iii) a thorough evaluation of our algorithms using various tests based both on randomly generated graphs and on real-world instances.