Skip to Main Content
Hands-On Artificial Intelligence for Cybersecurity
book

Hands-On Artificial Intelligence for Cybersecurity

by Alessandro Parisi
August 2019
Intermediate to advanced content levelIntermediate to advanced
342 pages
9h 35m
English
Packt Publishing
Content preview from Hands-On Artificial Intelligence for Cybersecurity

Fooling malware detectors with MalGAN

The black-box adversarial attack strategy can also be validly used to deceive the next-generation antimalware systems, based on NNs.

A useful library for developing black-box adversarial attacks with malware examples is MalGAN, available for download at https://github.com/yanminglai/Malware-GAN/, and released under the GPL 3.0 license (https://github.com/yanminglai/Malware-GAN/blob/master/LICENSE). The fundamental idea behind MalGAN is to use a GAN to generate adversarial malware examples, which are able to bypass black-box machine-learning-based detection models. To install the MalGAN library, you need to install the TensorFlow 1.80, Keras 2.0, and Cuckoo Sandbox 2.03 (https://cuckoo.readthedocs.io/en/2.0.3/ ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Artificial Intelligence for Cybersecurity

Artificial Intelligence for Cybersecurity

Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras

Publisher Resources

ISBN: 9781789804027Supplemental Content