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xx 8.5 Generalization of per-user credit accounting to per-link credit accounting. Ostra with per-user credit (shown in (a)) can be expressed as per-link credit over a star topology (shown in (b)), with the central site C as the hub. The addition of links (shown in (c)) doesnotchangetheproperties. ..................... 168 8.6 Diagram of how Ostra handles various attacks: (a) a normal user, (b) multiple identities, and (c) a network of Sybils. The total amount of creditavailabletotheuseristhesame. . . . . . . . . . . . . . . . . 169 8.7 Cumulative distribution (CDF) of distance between sender and receiver for our email trace. The observed data show a strong bias toward proximity when compared to randomly selected destinations. . 177 8.8 Amount of unwanted communication received by good users as the number of attackers is varied. As the number of attackers is increased, the number of unwanted messages delivered scales linearly. 180 8.9 Amount of unwanted communication received by good users as the maximumcreditimbalanceperlinkisvaried.. . . . . . . . . . . . . . 182 8.10 Proportion of messages delivered versus false classification probability forwantedmessages. ........................... 183PDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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