X-NegoBox: An Explainable Privacy-Budget Negotiation Framework for Secure Peer-to-Peer Energy Data Exchange
📰 ArXiv cs.AI
Learn how X-NegoBox enables secure peer-to-peer energy data exchange with explainable privacy-budget negotiation, and apply it to your own data sharing projects
Action Steps
- Implement X-NegoBox framework using Python and relevant libraries to enable secure peer-to-peer energy data exchange
- Configure the privacy-budget negotiation mechanism to balance data privacy and utility
- Test the framework with sample energy data to evaluate its performance and security
- Apply X-NegoBox to real-world energy data exchange scenarios, such as demand response and distributed forecasting
- Compare the results with existing data sharing mechanisms to assess the benefits of X-NegoBox
Who Needs to Know This
Data scientists and engineers working on energy data exchange projects can benefit from X-NegoBox to ensure secure and private data sharing, while also explaining the negotiation process to stakeholders
Key Insight
💡 X-NegoBox enables secure and private energy data exchange while providing explainability in the negotiation process, which is crucial for building trust among stakeholders
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🔒💡 Introducing X-NegoBox: an explainable privacy-budget negotiation framework for secure peer-to-peer energy data exchange #energydata #privacy
Key Takeaways
Learn how X-NegoBox enables secure peer-to-peer energy data exchange with explainable privacy-budget negotiation, and apply it to your own data sharing projects
Full Article
Title: X-NegoBox: An Explainable Privacy-Budget Negotiation Framework for Secure Peer-to-Peer Energy Data Exchange
Abstract:
arXiv:2604.24326v1 Announce Type: cross Abstract: The decentralization of modern energy systems is transforming consumers into prosumers who continuously exchange data with aggregators, peers, and market operators. While such data is essential for peer-to-peer trading, demand response, and distributed forecasting, it can reveal sensitive household patterns and introduce privacy risks. Existing data sharing mechanisms rely on fixed policies or predefined differential privacy budgets, limiting the
Abstract:
arXiv:2604.24326v1 Announce Type: cross Abstract: The decentralization of modern energy systems is transforming consumers into prosumers who continuously exchange data with aggregators, peers, and market operators. While such data is essential for peer-to-peer trading, demand response, and distributed forecasting, it can reveal sensitive household patterns and introduce privacy risks. Existing data sharing mechanisms rely on fixed policies or predefined differential privacy budgets, limiting the
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