Published Research
Academic papers that form the theoretical and practical foundation of the NHP protocol.
Network traffic control method of NHP based on deep reinforcement learning
Proposes an intelligent regulation method based on D3QN (Dueling Double Deep Q-Network) to address network traffic control challenges in NHP environments, achieving real-time perception and autonomous decision-making for throughput, latency, and packet loss optimization.
Research on Secure and Trusted Data Interaction Architecture for AI Agents
Explores secure data interaction architectures for AI agents, addressing the emerging security challenges of AI-driven systems.
DRL-AMIR: Intelligent Flow Scheduling for Software-Defined Zero Trust Networks
Applies deep reinforcement learning to intelligent flow scheduling in software-defined Zero Trust networks, optimizing NHP deployments.
STALE: A Scalable and Secure Trans-Border Authentication Scheme Leveraging Email and ECDH Key Exchange
Presents a scalable trans-border authentication scheme using elliptic curve Diffie-Hellman key exchange, applicable to NHP cross-domain scenarios.
AHAC: Advanced Network-Hiding Access Control Framework
Introduces the AHAC framework for advanced network-hiding access control, providing the architectural foundation for the NHP protocol.
Related Research
Research that informs our understanding of AI-era security threats and solutions.
From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code
Demonstrates that LLMs can find real-world vulnerabilities in production code, highlighting the emerging threat of AI-powered security research.
LLM Agents can Autonomously Exploit One-day Vulnerabilities
Shows that LLM agents can autonomously exploit known vulnerabilities without human intervention, dramatically reducing attack timelines.
Research Directions
Open research questions and areas where we welcome academic collaboration.
Post-Quantum Cryptography
Adapting NHP's cryptographic framework for quantum-resistant algorithms to ensure long-term security against quantum computers.
AI-Resistant Protocols
Developing protocol extensions that remain secure against AI-powered attack tools and automated vulnerability discovery.
Global Scale Deployment
Optimizing NHP for global-scale deployments with geographically distributed infrastructure and edge computing scenarios.
Blockchain Integration
Exploring decentralized identity and access management using blockchain technology combined with NHP's hiding capabilities.
Formal Verification
Applying formal methods to mathematically prove the security properties of the NHP protocol implementation.
IoT & Industrial Systems
Adapting NHP for resource-constrained IoT devices and critical infrastructure protection in industrial environments.
Partner with Us
We actively collaborate with universities and research institutions on cybersecurity protocol research. If you're interested in exploring Zero Trust networking, cryptographic protocols, or AI-era security challenges, we'd love to hear from you.
Collaboration Opportunities
- → Joint research projects and publications
- → Graduate student thesis supervision
- → Security audits and formal verification
- → Protocol extension design
Acknowledgments
We gratefully acknowledge the contributions of our research partners:
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Cloud Security Alliance (CSA)
Zero Trust Working Group collaboration
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China Computer Federation (CCF)
Collaborative research support
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OpenNHP Community
Testing, feedback, and implementation
Advance Zero Trust Research
Join our research community and help shape the future of network security.