Table 9 Privacy preservation performance of BlockIntelChain, showing the effectiveness, efficiency, and trade-offs of different privacy techniques for securing threat intelligence while maintaining system usability.
From: BlockIntelChain: a blockchain-based cyber threat intelligence sharing architecture
Privacy technique | Privacy level | Utility score | Computation overhead (%) | Storage overhead (%) | Query latency (ms) |
|---|---|---|---|---|---|
Differential privacy (\(\epsilon =0.1\)) | High | 0.92 | 15.3 | 8.7 | 234 |
Differential privacy (\(\epsilon =0.5\)) | Medium | 0.95 | 12.1 | 6.2 | 198 |
Differential privacy (\(\epsilon =1.0\)) | Low | 0.97 | 8.9 | 4.1 | 167 |
Homomorphic encryption | High | 0.89 | 67.4 | 145.8 | 1876 |
Zero-knowledge proofs | High | 0.94 | 34.2 | 23.6 | 567 |
Secure multi-party computation | High | 0.91 | 89.3 | 67.2 | 2345 |
Hybrid approach (DP + ZKP) | High | 0.93 | 28.7 | 18.9 | 423 |
No privacy protection | None | 1.00 | 0.0 | 0.0 | 145 |
