I-Corps: Behavioral Biometrics for Preventing and Detecting Digital Frauds

I-Corps:用于预防和检测数字欺诈的行为生物识别技术

基本信息

  • 批准号:
    2042030
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this I-Corps project empowers eCommerce owners, digital bankers, and healthcare service providers alike with a behavioral biometrics-based solution and service to more effectively prevent and detect fraudulent activities after account takeovers. The demand for online fraud detection is strong due to the continuing growth of eCommerce, banking, and healthcare, and the rising of account takeovers and related fraud. Moreover, industrialized fraudsters can weaponize a vulnerability in matters of minutes once a breach is exploited, and exponentially scale it to cause high financial loss for organizations and more importantly, undermine their credibility and reputation. Unfortunately, currently organizations rely on dedicated fraud detection teams to perform manual reviews to handle fraudulent cases, which is both time consuming and costly; they also rely on simplified, rules-based approaches for fraud detection, which unfortunately result in a high number of false positives and ultimately hurt customer experience and retention. Leveraging behavioral biometrics collected unobtrusively when a user conducts online business, the proposed innovation will provide additional user authentication and thus help businesses prevent and detect more fraudulent activities in a more reliable and effective fashion.This I-Corps project seeks to perform customer discovery of business entities such as eCommerce owners, digital bankers, and healthcare service providers, to identify the most valuable product parameters before formulating the proposed innovation into a market-ready product. A common problem is that these businesses are all obligated to safeguard user data and online transactions but are plagued by the continuous stream of account takeover attacks on their IT systems and the ensuing financial fraud. The proposed innovation produces a software solution and service that provides additional capability of user authentication to help businesses to significantly reduce such fraud despite of account takeovers. This innovation distinguishes between users by leveraging behavioral biometrics that unobtrusively capture a user's unique computing behavior, such as how they type on keyboards or how they move the mouse. The proposed software product packages state-of-the-art authentication algorithms so that existing business applications can access them via API calls. In addition, the end user is provided with full control over their own biometric data for privacy protection. The technological implementation of the proposed approach uses JavaScript in the web browsers and integrates with legacy applications at the server end.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这个I-Corps项目的更广泛的影响/商业潜力使电子商务所有者、数字银行家和医疗保健服务提供商能够提供基于行为生物识别的解决方案和服务,以更有效地预防和检测账户接管后的欺诈活动。由于电子商务、银行和医疗保健的持续增长,以及账户接管和相关欺诈的增加,对在线欺诈检测的需求非常强劲。 此外,工业化的欺诈者可以在漏洞被利用后几分钟内将漏洞武器化,并以指数级的方式扩大漏洞,给组织造成巨大的经济损失,更重要的是,破坏他们的信誉和声誉。不幸的是,目前组织依赖于专门的欺诈检测团队来执行手动审查以处理欺诈案件,这既耗时又昂贵;他们还依赖于简化的基于规则的欺诈检测方法,不幸的是,这会导致大量误报,最终损害客户体验和保留。利用用户进行在线业务时不显眼地收集的行为生物识别技术,拟议的创新将提供额外的用户身份验证,从而帮助企业以更可靠和有效的方式预防和检测更多的欺诈活动。这个I-Corps项目旨在执行电子商务所有者,数字银行家和医疗保健服务提供商等商业实体的客户发现,确定最有价值的产品参数,然后将拟议的创新转化为市场可用的产品。一个常见的问题是,这些企业都有义务保护用户数据和在线交易,但却受到对其IT系统的持续账户接管攻击和随之而来的金融欺诈的困扰。所提出的创新产生了一种软件解决方案和服务,该软件解决方案和服务提供了额外的用户身份验证功能,以帮助企业显著减少这种欺诈行为,尽管存在账户接管。这项创新通过利用行为生物识别技术来区分用户,这些生物识别技术不引人注目地捕捉用户的独特计算行为,例如他们如何在键盘上打字或如何移动鼠标。建议的软件产品封装了最先进的身份验证算法,以便现有的业务应用程序可以通过API调用访问它们。此外,最终用户可以完全控制自己的生物特征数据,以保护隐私。建议方法的技术实现在Web浏览器中使用JavaScript,并在服务器端与传统应用程序集成。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Daqing Hou其他文献

Motivating Energy and Resource Conservation Behavior by Gamification
通过游戏化激励能源和资源节约行为
Benchmarking keystroke authentication algorithms
击键认证算法的基准测试
Linking Usage Tutorials into API Client Code
将使用教程链接到 API 客户端代码
Finding errors from reverse-engineered equality models using a constraint solver
使用约束求解器从逆向工程等式模型中查找错误
Deep Learning-Based Approaches for Contactless Fingerprints Segmentation and Extraction
基于深度学习的非接触式指纹分割和提取方法
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. G. S. Murshed;Syed Konain Abbas;Sandip Purnapatra;Daqing Hou;Faraz Hussain
  • 通讯作者:
    Faraz Hussain

Daqing Hou的其他文献

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{{ truncateString('Daqing Hou', 18)}}的其他基金

Collaborative Research: SaTC-EDU: Integrating Cybersecurity in Computing Curricula: A Software PBL-Driven Approach with Focus on Identity and Access Management (IAM)
合作研究:SaTC-EDU:将网络安全集成到计算课程中:以身份和访问管理 (IAM) 为重点的软件 PBL 驱动方法
  • 批准号:
    2302614
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CyberTraining: Pilot: Employing Proper Orthogonal Decomposition (POD) and High-Performance Computing (HPC) in Advanced CI
网络培训:试点:在高级 CI 中采用适当的正交分解 (POD) 和高性能计算 (HPC)
  • 批准号:
    2118079
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: Supporting Project-Based Learning in Undergraduate Software Engineering Courses
协作研究:支持本科软件工程课程中的项目式学习
  • 批准号:
    2111318
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
PFI-TT: Behavior-Based Account Recovery, Trust Assessment, and Continuous Authentication for Strengthening Online Identity
PFI-TT:基于行为的帐户恢复、信任评估和持续身份验证,以加强在线身份
  • 批准号:
    2122746
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
REU Site: High Performance Computing with Engineering Applications
REU 站点:高性能计算与工程应用
  • 批准号:
    1852102
  • 财政年份:
    2019
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

相似国自然基金

Behavioral Insights on Cooperation in Social Dilemmas
  • 批准号:
  • 批准年份:
    2024
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    万元
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