Abstract
Rapidly identifying attacks and selecting and applying appropriate remediation represent a significant challenge for mitigating cyberattacks on Internet of Things devices. We present a novel self-healing framework that collaboratively trains a neural network-based remediation selection agent to recover from malfunctions and cyberattacks automatically.
| Original language | American English |
|---|---|
| Article number | 9187198 |
| Pages (from-to) | 44-53 |
| Number of pages | 10 |
| Journal | IEEE Security and Privacy |
| Volume | 19 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2021 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Law