Adversarial Intelligence: Using GANs in Cybersecurity
summary
Covers how generative adversarial networks (GANs) are applied in cybersecurity, specifically for intrusion detection and malware generation. Describes using GAN-based deep learning techniques to both detect attacks and simulate/adversarially craft threats to improve defensive measures.
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chapters (10)
- 0:00Malware and GANs introduction
- 1:29Malware attack growth causes
- 3:55AI in cybersecurity
- 6:06How GANs work
- 9:19GANs in cybersecurity uses
- 12:07Generative networks challenges
- 13:11DCGAN advanced techniques
- 16:03Malware byte plot demo
- 21:00Model training and evaluation
- 22:03Future perspectives and conclusions
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