Task offloading of cooperative intrusion detection system based on Deep Q Network in mobile edge computing

作者：

Highlights：

• A CIDS architecture applied to mobile edge computing is proposed.

• A task offloading scheduling algorithm based on DQN is proposed.

• The task scheduling process is modeled by Markov decision process.

• The loss function and objective function are established based on DQN.

• Memory playback is introduced to solve the dimensional disasters in Q-learning.

摘要

•A CIDS architecture applied to mobile edge computing is proposed.•A task offloading scheduling algorithm based on DQN is proposed.•The task scheduling process is modeled by Markov decision process.•The loss function and objective function are established based on DQN.•Memory playback is introduced to solve the dimensional disasters in Q-learning.

论文关键词：Edge computing,Intrusion detection,Task offloading,Reinforcement learning,Deep Q Network

论文评审过程：Received 22 November 2021, Revised 9 June 2022, Accepted 10 June 2022, Available online 16 June 2022, Version of Record 21 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117860