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A Deep Learning Approach to Create DNS Amplification Attacks. (arXiv:2206.14346v1 [cs.CR])
June 30, 2022, 1:20 a.m. | Jared Mathews, Prosenjit Chatterjee, Shankar Banik, Cory Nance
cs.CR updates on arXiv.org arxiv.org
In recent years, deep learning has shown itself to be an incredibly valuable
tool in cybersecurity as it helps network intrusion detection systems to
classify attacks and detect new ones. Adversarial learning is the process of
utilizing machine learning to generate a perturbed set of inputs to then feed
to the neural network to misclassify it. Much of the current work in the field
of adversarial learning has been conducted in image processing and natural
language processing with a wide …
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