This research presents a security analysis and defense framework for Cloud-IoT infrastructure, focusing on architectural vulnerabilities in interconnected cloud and edge environments.
- Architectural Threat Modeling: A layer-by-layer analysis of vulnerabilities from physical sensors to cloud applications.
- Trust Management Framework: A behavioral-scoring model to isolate malicious devices and ensure data integrity.
- Multi-Cloud Governance Challenges: Identified key risks in data privacy, CSP trust, and compliance in distributed environments.
- Edge-Fog Security Paradigm: Proposed using edge nodes for filtering and fog servers for encryption as a new security boundary.
- One-Page Summary - An overview of the security approach and mitigation strategies for Cloud-IoT systems.
- Full Paper - Available upon request | Contains the detailed threat models, defense methodologies, and peer-reviewed literature analysis.
Raphael Chung - MSc AI Candidate @ CUHK | AI Security
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An individual undergraduate research project developed as part of the Cloud Security curriculum at Rensselaer Polytechnic Institute (RPI).