Secure Data Mining of Genomics Datasets using Homomorphic Encryption

使用同态加密对基因组数据集进行安全数据挖掘

• 批准号: 68813
• 金额: $ 6.5万
• 依托单位: ZAIKU GROUP LTD
• 依托单位国家: 英国
• 项目类别: Study
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=68813
• 关键词: Secure; Data; Mining; Genomics; Datasets

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.

该项目将展示再酷前沿同态加密研究的可行性，该研究旨在确保最敏感、最有价值的数据能够以加密状态安全地存储、更新和共享，从而使数据永远不会受到攻击。可行性研究还将侧重于在英国的NHS服务、选定的出口市场以及银行和金融部门建立同态加密的商业机会。从英国国民健康服务体系的“五年展望”到国家信息委员会的“个性化健康和护理2020”，数据捕获、挖掘、分析和共享被正确地视为改变患者和公民健康结果的关键。这给医疗机构带来了无纸化和释放数据价值的积极压力，并在保护敏感患者信息的安全性和保密性方面提出了巨大挑战。健康数据的潜在价值是巨大的。网络犯罪分子非常看重健康数据，因为它可以让他们创建非常令人信服的假身份，与信用卡不同，这些假身份无法取消。公众还高度关注他们的个人健康信息可能被保险公司等企业滥用，他们认为这可能使他们遭受歧视性做法。同态加密是加密理论的一种新形式，其目的是允许搜索和更改加密的信息，而无需像目前所需要的那样首先对其进行解密。所做更改的结果应该与应用于未加密数据的结果相同。这是非常创新的，特别是在医疗保健领域，它可以简化敏感数据的安全和适当共享，在不损害数据安全性的情况下增强服务创新和患者结果。