![]() Nature 439(26):462–465Ĭavusoglu H, Cavusoglu H, Raghunathan S (2005) Emerging issues in responsible vulnerability disclosure. Science 286(5439):509–512īrockmann D, Hufnagel L, Geisel T (2006) The scaling laws of human travel. ![]() ACM, New York, pp 181–190īarabási A, Albert R (1999) Emergence of scaling in random networks. In: Proceedings of the 16th International Conference on World Wide Web, Banff. , Retrieved īackstrom L, Dwork C, Kleinberg J (2007) Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography. American Management Association, New Yorkīack A (2002) Hashcash – a denial of service counter-measure. IEEE Int Syst 26(6):22–30Īnderson A, Cannell D, Gibbons T, Grote G, Henn J, Kennedy J, Muir M, Potter N, Whitby R (1966) An electronic cash and credit system. KeywordsĪltshuler Y, Aharony N, Elovici Y, Pentland A, Cebrian M (2011) Stealing reality: when criminals become data scientists (or vice versa). We combine these structures with external information and techniques such as context discovery and flow analysis to investigate an alleged theft of Bitcoins, which, at the time of the theft, had a market value of approximately US$500,000. We show that the two networks have a non-trivial topological structure, provide complementary views of the Bitcoin system, and have implications for anonymity. ![]() In this chapter we consider the topological structure of two networks derived from Bitcoin’s public transaction history. Bitcoin tries to prevent this attack by storing the mapping of a user to his or her public-keys on that user’s node only and by allowing each user to generate as many public-keys as required. ![]() An attacker wishing to de-anonymize users will attempt to construct the one-to-many mapping between users and public-keys, and associate information external to the system with the users. Within the system, users are identified only by public-keys. Anonymity in Bitcoin, a peer-to-peer electronic currency system, is a complicated issue. ![]()
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