In this paper, we performed phishing and spam detection using textand data mining. For phishing websites detection, we extracted 17 features from the source code and URL of the websites and for spam-email detection we ap-plied text and data mining in tandem. In both studies, we achieved high sensi-tivity compared to previous studies and also provided decision rules. © 2013 Springer International Publishing.
CITATION STYLE
Pandey, M., & Ravi, V. (2013). Text and data mining to detect phishing websites and spam emails. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8298 LNCS, pp. 559–573). https://doi.org/10.1007/978-3-319-03756-1_50
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