Outputs (2)

TrustShare: Secure and Trusted Blockchain Framework for Threat Intelligence Sharing (2025)
Journal Article
Ali, H., Buchanan, W. J., Ahmad, J., Abubakar, M., Khan, M. S., & Wadhaj, I. (2025). TrustShare: Secure and Trusted Blockchain Framework for Threat Intelligence Sharing. Future Internet, 17(7), Article 289. https://doi.org/10.3390/fi17070289

We introduce TrustShare, a novel blockchain-based framework designed to enable secure, privacy-preserving, and trust-aware cyber threat intelligence (CTI) sharing across organizational boundaries. Leveraging Hyperledger Fabric, the architecture suppo... Read More about TrustShare: Secure and Trusted Blockchain Framework for Threat Intelligence Sharing.

Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption (2025)
Journal Article
Buchanan, W. J., & Ali, H. (2025). Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption. Cryptography, 9(2), Article 33. https://doi.org/10.3390/cryptography9020033

The requirement for privacy-aware machine learning increases as we continue to use PII (personally identifiable information) within machine training. To overcome the existing privacy issues, we can apply fully homomorphic encryption (FHE) to encrypt... Read More about Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption.