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Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency.

, , , and . ICCSA (2), volume 6017 of Lecture Notes in Computer Science, page 351-360. Springer, (2010)

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Spam 2.0: The Problem Ahead., , , , , , and . ICCSA (2), volume 6017 of Lecture Notes in Computer Science, page 400-411. Springer, (2010)Characterisation of web spambots using self organising maps., , , and . Comput. Syst. Sci. Eng., (2011)Modeling Input Validation in UML., , , , and . Australian Software Engineering Conference, page 663-672. IEEE Computer Society, (2008)Automatically Measuring the Quality of User Generated Content in Forums., , , and . Australasian Conference on Artificial Intelligence, volume 7106 of Lecture Notes in Computer Science, page 51-60. Springer, (2011)Detection of fixed length web spambot using REAL (read aligner)., , , , and . CUBE, page 820-825. ACM, (2012)HoneySpam 2.0: Profiling Web Spambot Behaviour., , , and . PRIMA, volume 5925 of Lecture Notes in Computer Science, page 335-344. Springer, (2009)Toward spam 2.0: An evaluation of Web 2.0 anti-spam methods., and . INDIN, page 875-880. IEEE, (2009)Spamming for Science: Active Measurement in Web 2.0 Abuse Research., , , and . Financial Cryptography Workshops, volume 7398 of Lecture Notes in Computer Science, page 98-111. Springer, (2012)How much money do spammers make from your website?, , , and . CUBE, page 732-739. ACM, (2012)Behaviour-Based Web Spambot Detection by Utilising Action Time and Action Frequency., , , and . ICCSA (2), volume 6017 of Lecture Notes in Computer Science, page 351-360. Springer, (2010)