GlyphNet: Homoglyph domains dataset and detection using attention-based Convolutional Neural Networks

Paper Authors: Akshat Gupta, Laxman Singh Tomar, Ridhima Garg Abstract Cyber attacks deceive machines into believing something that does not exist in the first place. However, there are some to which even humans fall prey. One such famous attack that attackers have used over the years to exploit the vulnerability of vision is known to be a Homoglyph attack. It employs a primary yet effective mechanism to create illegitimate domains that are hard to differentiate from legit ones....

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Hands-on Deep Learning with Tensorflow 2.0

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