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 | English |
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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 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Law