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Imperium AI Research Framework

AI-Based Red Teaming Framework

for Smart Home & IoT LLMs

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AI Red-Team Agents
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Attack Tactics
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IoT Devices
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Active LLM Providers
Smart Home Battle Arena

5 adversarial AI agents · 22 attack tactics · – LLM providers

System Status
BackendOFFLINE
Active LLM—
Multi-LLM ModeOFF
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Research Goal:

Imperium AI develops an AI-based red-teaming framework for automated security testing of Large Language Models integrated into Smart Home and IoT environments.

Research Method:

Imperium AI simulates coordinated adversarial attacks against LLMs controlling IoT devices, evaluates responses through a Policy Engine, assigns quantitative risk scores, and logs every result for academic analysis.

Thesis Structure
1
Introduction
Relevance, goals, research methods, scientific novelty
2
Literature Review
LLMs in IoT · Red Teaming · Smart Home Security
3
Framework Architecture
Agent System · IoT Simulator · Policy Engine · Risk Scoring
4
Experimental Results
Attack scenarios · LLM configurations · Statistical analysis
5
Conclusion
Findings · Limitations · Future research directions
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