A Deep Learning Filter that Blocks Phishing Campaigns Using Intelligent English Text Recognition Methods.

ABSTRACT: Most of the sophisticated attacks in the modern age of cybercrime are based, among other things, on specialized phishing campaigns. A challenge in identifying phishing campaigns is defining a classification of patterns that can be generalized and used in different areas and campaigns of a different nature. Although efforts have been made to establish a general labeling scheme in their classification, there is still limited data labeled in such a format. The usual approaches are based on feature engineering to correctly identify phishing campaigns, exporting lexical, syntactic, and semantic features, e.g., previous phrases. In this context, the most recent approaches have taken advantage of modern neural network architectures to record hidden information at the phrase and text levels, e.g.,

SUBMITTER: Tang Y 

PROVIDER: S-EPMC9170453 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature