Secure Data Mining of Genomics Datasets using Homomorphic Encryption

点击翻译按钮获取中文摘要

This project will demonstrate the feasibility of Zaiku's cutting edge Homomorphic Encryption research, which aims to ensure the most sensitive, valuable data can be safely stored, updated and shared in its encrypted state, so that data is never vulnerable. The feasibility study will also focus on establishing the commercial opportunity for Homomorphic Encryption across NHS services in England, selected export markets, and also in the banking and financial sectors.From the NHS England "Five Year Forward View" to the National Information Board's "Personalised Health and Care 2020", data capture, mining, analysis and sharing are rightly seen as the essential keys to transforming health outcomes for patients and citizens. This creates positive pressure for healthcare organisations to be paper-free and unlock the value of data, and poses tremendous challenges in protecting the security and confidentiality of sensitive patient information.The potential value of health data is huge. Cyber criminals prize health data highly, as it allows them to create very convincing false identities which, unlike credit cards they cannot be cancelled. The public is also highly concerned that their personal health information could be misused by businesses such as insurers, which they believe could expose them to discriminatory practices.Homomorphic encryption is a novel form of encryption theory, intended to allow searching and changing encrypted information without first decrypting it, as is currently required. The results of changes made should be the same as if they were applied to unencrypted data. This is highly innovative, especially in healthcare, where it could ease safe and appropriate sharing of sensitive data, enhancing service innovation and patient outcomes without compromising data security.