Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Analyzing Adversarial Attacks Against Deep Learning for Intrusion
  Detection in IoT Networks   Adversarial attacks have been widely studied in the field of computer vision
but their impact on network security applications remains an area of open
research. As IoT, 5G and AI continue to converge to realize the promise of the
fourth industrial revolution (Industry 4.0), security incidents and events on
IoT networks have increased. Deep learning techniques are being applied to
detect and mitigate many of such security threats against IoT networks.
Feedforward Neural Networks (FNN) have been widely used for classifying
intrusion attacks in IoT networks. In this paper, we consider a variant of the
FNN known as the Self-normalizing Neural Network (SNN) and compare its
performance with the FNN for classifying intrusion attacks in an IoT network.
Our analysis is performed using the BoT-IoT dataset from the Cyber Range Lab of
the center of UNSW Canberra Cyber. In our experimental results, the FNN
outperforms the SNN for intrusion detection in IoT networks based on multiple
performance metrics such as accuracy, precision, and recall as well as
multi-classification metrics such as Cohen's Kappa score. However, when tested
for adversarial robustness, the SNN demonstrates better resilience against the
adversarial samples from the IoT dataset, presenting a promising future in the
quest for safer and more secure deep learning in IoT networks.

22
The categories of this paper are: chao-dyn
20
The categories of this paper are: acc-phys
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio