Towards detecting anomalous user behavior in online social networks

    USENIX Security, pp. 223-238, 2014.

    Cited by: 177|Bibtex|Views65|Links
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    Abstract:

    Users increasingly rely on crowdsourced information, such as reviews on Yelp and Amazon, and liked posts and ads on Facebook. This has led to a market for blackhat promotion techniques via fake (e.g., Sybil) and compromised accounts, and collusion networks. Existing approaches to detect such behavior relies mostly on supervised (or semisu...More

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