AdIoTack: Quantifying and refining resilience of decision tree ensemble inference models against adversarial volumetric attacks on IoT networks
Machine Learning-based techniques have shown success in cyber intelligence. However, they are increasingly becoming targets of sophisticated data-driven adversarial attacks resulting in misprediction, eroding their ability to detect threats on network devices. In this paper, we present AdIoTack,1 a...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier Ltd
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |