Intrusion Detection via Wide and Deep Model

Li, Zhipeng; Qin, Zheng; Shen, Pengbo

doi:10.1007/978-3-030-30490-4_57

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“…WnD is a deep learning-based approach proposed by Google [55] that, to the best of our knowledge, has never been evaluated for botnet detection. We consider it due to its appreciable results in other classification contexts [56]. Both algorithms adopt the feature set reported in Table I.…”

Section: B Detectorsmentioning

confidence: 99%

Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks

Apruzzese

Andreolini

Marchetti

et al. 2020

IEEE Trans. Netw. Serv. Manage.

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Some rights reserved. The terms and conditions for the reuse of this version of the manuscript are specified in the publishing policy. For all terms of use and more information see the publisher's website. This is the final peer-reviewed author's accepted manuscript (postprint) of the following publication:This item was downloaded from IRIS Università di Bologna (https://cris.unibo.it/).When citing, please refer to the published version.

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Section: B Detectorsmentioning

confidence: 99%