Abstract:Abstract:Open network service is threatened by API abusers such as spammers, phishes, compromised users, etc., because of their open API for any user and third-party developers. In order to preserve the service resource and security, we proposed an approach called CS-1-SVM based on cosine similarity and 1-SVM to detect anomalous accounts who abused API in open network service. Two of the key processes of the method are account modeling and classifier solving. In account modeling, we vectorized every sample use… Show more
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