Iolaus: Securing Online Content Rating Systems
The system:ΓÇóIs highly efficient and scalableΓÇóLeverages the existing network of rating systems to defend against potential attacksΓÇóWeighs each identity rating, allowing different identities to have different weights, enabling effective defense against multiple identity attacksΓÇóAllows for relative ratings to overcome the effect of bought ratingsΓÇóAllows for a personalized aggregated rating for each identity as compared to single aggregated ratings used conventionallyΓÇóFurther allows for an influence bounding, such that total influence per vote is uniquely boundedΓÇóWould be commercially useful for various online content rating sites such as sites sharing business recommendations (Yelp, Trip Advisor), news articles (Digg, reddit), and multimedia content (Flickr, YouTube), in order to manage potential rating manipulations
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美國
