Enhancing TinyML-Based Container Escape Detectors With Systemcall Semantic Association in UAVs Networks-Reference-Cited by-同舟云学术

Enhancing TinyML-Based Container Escape Detectors With Systemcall Semantic Association in UAVs Networks

Published:2024-06-15 Issue:12 Volume:11 Page:21158-21169
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zheng Tao¹^ORCID,Qiu Yunxiang¹,Zheng Yundan¹^ORCID,Wang Qixu²^ORCID,Chen Xingshu²^ORCID

Affiliation:

1. School of Cyber Science, Sichuan University, Chengdu, Sichuan, China

2. School of Cyber Science and Engineering, Cyber Science Research Institute, and the Key Laboratory of Data Protection and Intelligent Management, Ministry of Education, Sichuan University, Chengdu, Sichuan, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Science and Engineering Connotation Development Project of Sichuan University

173 Project

Natural Science Foundation of Sichuan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10443619.pdf?arnumber=10443619

Reference46 articles.

1. 5G-Enabled UAV-to-Community Offloading: Joint Trajectory Design and Task Scheduling

2. Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey

3. Multi-Agent Deep Reinforcement Learning Based UAV Trajectory Optimization for Differentiated Services

4. Energy-Aware 3D-Deployment of UAV for IoV With Highway Interchange

5. Bandwidth Allocation and Trajectory Control in UAV-Assisted IoV Edge Computing Using Multiagent Reinforcement Learning

Cited by 1 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. Multi-UAV Hierarchical Intelligent Traffic Offloading Network Optimization Based on Deep Federated Learning;IEEE Internet of Things Journal;2024-06-15