Cyber-security and reinforcement learning — A brief survey-Reference-Cited by-同舟云学术

Cyber-security and reinforcement learning — A brief survey

Published:2022-09 Issue: Volume:114 Page:105116
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Adawadkar Amrin Maria Khan^ORCID,Kulkarni Nilima

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference112 articles.

1. Deep reinforcement learning at the edge of the statistical precipice;Agarwal,2021

2. DQRE-SCnet: A novel hybrid approach for selecting users in federated learning with deep-Q-reinforcement learning based on spectral clustering;Ahmadi;J. King Saud Univ., Comput. Inf. Sci.,2021

3. (ReLBT): A Reinforcement learning-enabled listen before talk mechanism for LTE-LAA and Wi-Fi coexistence in IoT;Ali;Comput. Commun.,2020

4. SecOFF-FCIoT: ML based secure offloading in fog-cloud of things for smart city applications;Alli;Internet of Things,2019

5. Dynamic energy scheduling and routing of multiple electric vehicles using deep reinforcement learning;Alqahtani;Energy,2022

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Raiju: Reinforcement learning-guided post-exploitation for automating security assessment of network systems;Computer Networks;2024-11

2. A Multiagent Deep Reinforcement Learning Autonomous Security Management Approach for Internet of Things;IEEE Internet of Things Journal;2024-08-01

3. A method of network attack-defense game and collaborative defense decision-making based on hierarchical multi-agent reinforcement learning;Computers & Security;2024-07

4. Enhancing Intrusion Detection Systems with Reinforcement Learning: A Comprehensive Survey of RL-based Approaches and Techniques;SN Computer Science;2024-06-21

5. Lessons learned in designing a cyber reinforcement learning competition;Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI;2024-06-07