STTR Phase II: Improving Privacy and Security in Biometrics
STTR 第二阶段:提高生物识别技术的隐私和安全性
基本信息
- 批准号:0750485
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-03-01 至 2011-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This Small Business Technology Transfer (STTR) Phase II project aims to make fundamental advances in Biotopes -- cryptographically secured privacy-enhanced fingerprint and face-based technologies. The project will develop prototypes to support beta testing in commercial applications and pursue large-scale government testing. The development effort introduces the concept and will develop/demonstrate bi-directional biometric verification, whereby both the sensor and DB receive match confirmation. This is critical for remote/web-based biometric usage and improves security and privacy with match-on-card solutions. It will develop a new Biotope which uses, but never stores, multi-spectral data not obtainable from existing databases or from latent prints, providing a sustainable non-spoofable secured identity tokens that match in encoded form and change on every transaction. It will explore improving accuracy with 'negative' minutiae and PCA-based feature enhancements. To improve reuse of existing minutia-based algorithms and hardware, the effort seeks to develop a minutiae-to-minutiae mapping approach with the same security/privacy protection of existing Biotopes. For face-based biometrics, the project develops new multi-view approaches for face-based verification from non-cooperative subjects in complex unstructured environments. Additionally, the project addresses privacy protection, with a non-searchable technology that still supports a privacy-protecting image-storage for fraud prosecution, and will extend other research work in the area of continuous verification by improving the online verification for distance education and other applications.The broader impact starts with its unique focus on simultaneously improving privacy and security rather than trading one for the other. At a time when citizens feel their privacy is traded for the mere promise of security, this effort is an investment in privacy. The project will transition fundamental research into testing with commercial partners. It directly addresses reasons that other researchers have said cause the perpetual gap between predicted and realized commercial growth in biometrics. It will enhance biometrics, providing 'revocability' and transactional uniqueness to support biometric-based commerce without fear of phishing, hacking or insider access. The project will impact the distance education market for example, by focusing on improving effectiveness of state training for those in need while protecting their privacy and dignity. The projected outcomes also open the potential for passports/IDcard that allow individuals to prove their identity without allowing others to use that data to search for them. It will support smart-card based solutions that allow for biometric-verified yet 'anonymous' transactions. It addresses the often overlooked biometric dilemma, that wide-spread deployments of biometrics today may ultimately increase identify theft and also limit biometrics security value tomorrow.
这个小企业技术转让(STTR)第二阶段项目的目标是在生物群落中取得根本性的进展-密码保护的隐私增强型指纹和基于面部的技术。该项目将开发原型,以支持商业应用的beta测试,并进行大规模的政府测试。开发工作引入了这一概念,并将开发/演示双向生物识别验证,从而传感器和DB都接收匹配确认。这对于远程/基于Web的生物识别使用至关重要,并通过卡上匹配解决方案提高了安全性和隐私性。它将开发一个新的生态区,使用但从不存储无法从现有数据库或潜在指纹中获得的多光谱数据,提供可持续的不可欺骗的安全身份令牌,以编码形式匹配并在每次交易中更改。它将探索通过“负”细节点和基于PCA的特征增强来提高准确性。为了提高现有的基于细节的算法和硬件的重用,努力寻求开发一个细节到细节的映射方法与现有的生境相同的安全/隐私保护。对于基于人脸的生物特征识别,该项目开发了新的多视图方法,用于在复杂的非结构化环境中从非合作主体进行基于人脸的验证。此外,该项目还致力于隐私保护,其不可搜索技术仍然支持用于欺诈起诉的隐私保护图像存储,并将通过改进远程教育和其他应用的在线验证来扩展持续验证领域的其他研究工作。更广泛的影响始于其独特的重点,即同时提高隐私和安全性,而不是将两者混为一谈。当公民感到他们的隐私被用来换取仅仅是安全的承诺时,这种努力是对隐私的投资。该项目将把基础研究转变为与商业合作伙伴的测试。它直接解决了其他研究人员所说的导致生物识别技术预测和实现商业增长之间永久差距的原因。它将增强生物识别技术,提供“可识别性”和交易独特性,以支持基于生物识别的商务,而不必担心网络钓鱼、黑客攻击或内部访问。例如,该项目将影响远程教育市场,重点是提高国家培训对有需要的人的有效性,同时保护他们的隐私和尊严。预计的结果还为护照/身份证的开发提供了可能性,使个人能够证明自己的身份,而不允许其他人使用这些数据来搜索他们。它将支持基于智能卡的解决方案,允许生物识别验证但“匿名”交易。它解决了经常被忽视的生物识别困境,即今天生物识别技术的广泛部署最终可能会增加身份盗窃,并限制明天的生物识别安全价值。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Walter Scheirer其他文献
Walter Scheirer的其他文献
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1942151 - 财政年份:2020
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1629033 - 财政年份:2016
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Group Travel Grant for the Doctoral Consortium at the IEEE Conference on Computer Vision and Pattern Recognition
为参加 IEEE 计算机视觉和模式识别会议的博士联盟提供团体旅行资助
- 批准号:
1136370 - 财政年份:2011
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