DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework

DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework

The recent development of autonomous driving technologies has led to the proliferation of research on sensors and electronic equipment inside a vehicle. To deal with security concerns of in-vehicle networks, various deep learning (DL) and reinforcement learning (RL) have been developed to enhance in...

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Bibliographic Details
Main Authors: Seunghyun Yoon, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, Hyuk Lim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep reinforcement learning
in-vehicle network
moving target defense
network slicing
partial observability
software-defined networking
Online Access:https://ieeexplore.ieee.org/document/9418999/

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