all InfoSec news
Packet-Level Adversarial Network Traffic Crafting using Sequence Generative Adversarial Networks. (arXiv:2103.04794v2 [cs.CR] UPDATED)
cs.CR updates on arXiv.org arxiv.org
The surge in the internet of things (IoT) devices seriously threatens the
current IoT security landscape, which requires a robust network intrusion
detection system (NIDS). Despite superior detection accuracy, existing machine
learning or deep learning based NIDS are vulnerable to adversarial examples.
Recently, generative adversarial networks (GANs) have become a prevailing
method in adversarial examples crafting. However, the nature of discrete
network traffic at the packet level makes it hard for GAN to craft adversarial
traffic as GAN is efficient …
accuracy adversarial continuous current data deep learning detection devices gan gans generative generative adversarial networks hard internet internet of things intrusion intrusion detection intrusion detection system iot iot security machine machine learning nature network networks network traffic packet security system things traffic vulnerable