IoT-Zoo: A Container-Based Framework for Heterogeneous IoT Device Profiles and Reproducible Traffic Capture
arXiv:2606.15653v1 Announce Type: cross Abstract: The validation of networking and security solutions for the Internet of Things (IoT) requires realistic and reproducible experimental data. However, existing platforms often achieve scalability by replicating a limited set of device types, which restricts profile diversity and fails to capture the heterogeneity of real-world IoT environments. In this paper, we present IoT-Zoo, a container-based testbed designed to support reproducible experimentation through heterogeneous, dataset-driven IoT device profiles. Built upon Containernet, IoT-Zoo aut
The proliferation of diverse IoT devices necessitates robust testing environments for security and networking, leading to the development of sophisticated simulation platforms.
Reproducible and heterogeneous IoT testing is critical for validating the security and performance of interconnected devices, impacting infrastructure reliability and data integrity.
The ability to simulate complex, real-world IoT environments accurately will improve the development and deployment of secure and efficient IoT solutions.
- · Cybersecurity firms
- · IoT device manufacturers
- · Cloud infrastructure providers
- · Network operators
- · Attackers exploiting IoT vulnerabilities
- · Companies with poor IoT security practices
Improved security and reliability of IoT deployments.
Accelerated innovation in IoT applications due to reduced testing overheads and improved data quality.
Enhanced trust in IoT ecosystems, leading to broader adoption in critical infrastructure and sensitive applications.
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