A Containerized IoT Simulation Environment for Network Warfare Training

Amidst the growing prevalence of Internet of Things (IoT) devices and the expanding risks to enterprise networks, there is a sustained increase in the demand for controlled penetration testing to delineate attack surfaces and uncover vulnerabilities within business operations. While the market offers a plethora of cybersecurity companies providing third-party penetration testing services, these services are often prohibitively expensive and fail to ensure data security. In response, we propose a lightweight environment emulation platform based on containerization, which abstractly simulates various IoT devices and environments from real-world settings, enabling the creation of controllable virtual environments that closely mimic actual business operations.The constructed virtual environment not only permits users to conduct attack simulations but also allows for the simultaneous inclusion of defensive strategies, thereby simulating a comprehensive set of attacker-defender scenarios. This significantly enhances the diversity and complexity of training exercises. This approach satisfies the requirements for data security and controllability, thereby strengthening the enterprise’s ability to both defend against and respond to cyber threats.

Authors

Institutions

Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics62450.2024.00025
Citations
1
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Containerized IoT Simulation Environment for Network Warfare Training

Hui Lin, Chao Lyu, Ruihao Chen, Qingxin Lin et al.
1 citations
Robotics and Automated Systems
0.33
article

A Containerized IoT Simulation Environment for Network Warfare Training

Hui Lin, Chao Lyu, Ruihao Chen, Qingxin Lin, Wenzhao Wang
article en
1 citations

Abstract

Amidst the growing prevalence of Internet of Things (IoT) devices and the expanding risks to enterprise networks, there is a sustained increase in the demand for controlled penetration testing to delineate attack surfaces and uncover vulnerabilities within business operations. While the market offers a plethora of cybersecurity companies providing third-party penetration testing services, these services are often prohibitively expensive and fail to ensure data security. In response, we propose a lightweight environment emulation platform based on containerization, which abstractly simulates various IoT devices and environments from real-world settings, enabling the creation of controllable virtual environments that closely mimic actual business operations.The constructed virtual environment not only permits users to conduct attack simulations but also allows for the simultaneous inclusion of defensive strategies, thereby simulating a comprehensive set of attacker-defender scenarios. This significantly enhances the diversity and complexity of training exercises. This approach satisfies the requirements for data security and controllability, thereby strengthening the enterprise’s ability to both defend against and respond to cyber threats.

Fujian Normal University (CN), Fuzhou University (CN)
Openalex Percentile: Top 40%
Robotics and Automated Systems
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Containerized IoT Simulation Environment for Network Warfare Training — Hui Lin, Chao Lyu, et al. · (2024) | TGRS Research Map | TGRS