REU Site: Frontier Technologies for Biometrics and Authentication
REU 网站:生物识别和身份验证前沿技术
基本信息
- 批准号:2050910
- 负责人:
- 金额:$ 39.36万
- 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:2021-03-15 至 2025-02-28
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project establishes a new Research Experiences for Undergraduates (REU) Site hosted by the Department of Computer Science and Engineering at the University at Buffalo. Undergraduate students across the nation will work with a group of experienced faculty members and industrial mentors and conduct cutting-edge research in biometrics and authentication during each summer. Biometrics is replacing traditional passwords and becoming the most preferred authentication approach in daily-life scenarios, including mobile applications, banking, and border security. The trend leads to an impressive upsurge in the industry's need to hire scientists and engineers with biometric computing skills. To hardness the biometric technology and meet the increasing industry demand, biometrics and authentication have become a core part of the cybersecurity course curriculum. This REU site will provide a short-term intensive research training experience to a group of undergraduate researchers to prepare them for a career in the field of cybersecurity and benefit their graduate applications and job hunting. Through various activities such as hands-on projects, seminars, demos, presentations, field trips, and other professional development opportunities, undergraduate students will also enhance their professional skills. This REU site aims to broaden the participation of underrepresented groups in research activities.Despite substantial previous efforts, there remain unresolved challenges about the effectiveness and management of systems for biometric recognition, as well as the appropriateness and societal impacts of their use. Moreover, the general public has been exposed to biometrics largely as high-technology gadgets in spy thrillers or as fear instilling instruments of state or corporate surveillance in speculative fiction. The following research problems in biometrics are challenging and unexplored, but of great importance to trustworthy biometrics: new biometric modality, anti-spoofing, cancelability, continuous authentication, and societal acceptance. The problem formulation and solutions will help the community strengthen the understanding of biometrics in individual identification and authentication. Specifically, under the long-term vision of biometrics and authentication, this REU site will focus on the two fundamental research directions on (A) biometric modality and (B) biometric security. Specifically, the research projects for undergraduate students will be built on top of six (6) research areas under the theme of Biometrics and Authentication, including 1) Biometric Sensors & Hardware, 2) Biometric Data Processing, 3) Authentication Algorithms, 4) Biometrics System Security, 5) User Interface Optimization, and 6) Attacks & Countermeasures. Research outcomes include a set of cutting-edge biometric technologies, including emerging physiological and behavioral biometrics, continuous and revocable authentication, vulnerabilities, and mitigation approaches to new attacks to biometric authentication.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.
该项目建立了一个新的本科生研究经验(REU)网站主办的计算机科学与工程系在布法罗大学。全国各地的本科生将与一群经验丰富的教师和行业导师合作,并在每年夏天进行生物识别和身份验证方面的前沿研究。生物识别技术正在取代传统的密码,并成为日常生活场景中最受欢迎的身份验证方法,包括移动的应用程序,银行和边境安全。这一趋势导致该行业对雇佣具有生物识别计算技能的科学家和工程师的需求激增。为了加强生物识别技术和满足日益增长的行业需求,生物识别和身份验证已成为网络安全课程的核心部分。这个REU网站将为一群本科研究人员提供短期密集的研究培训经验,为他们在网络安全领域的职业生涯做好准备,并有利于他们的研究生申请和求职。通过各种活动,如动手项目,研讨会,演示,演讲,实地考察和其他专业发展机会,本科生也将提高他们的专业技能。这个REU网站旨在扩大代表性不足的群体在研究活动中的参与。尽管之前做出了大量努力,但生物识别系统的有效性和管理以及其使用的适当性和社会影响仍然存在未解决的挑战。此外,普通公众接触生物识别技术主要是作为间谍惊悚片中的高科技小工具,或者是作为投机小说中国家或公司监视的恐惧灌输工具。生物特征识别中的以下研究问题具有挑战性和未探索性,但对可信的生物特征识别非常重要:新的生物特征识别模式,反欺骗,可取消性,连续认证和社会接受度。问题的提出和解决方案将有助于社会加强对生物识别技术在个人身份识别和认证中的理解。具体而言,在生物识别和认证的长期愿景下,这个REU网站将专注于两个基本研究方向:(A)生物识别模态和(B)生物识别安全。具体而言,本科生的研究项目将建立在生物识别和身份验证主题下的六(6)个研究领域之上,包括1)生物识别传感器硬件,2)生物识别数据处理,3)身份验证算法,4)生物识别系统安全,5)用户界面优化,以及6)攻击对策。研究成果包括一系列尖端生物识别技术,包括新兴的生理和行为生物识别技术、持续和可验证的身份验证、漏洞以及针对生物识别身份验证的新攻击的缓解方法。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
期刊论文数量(1)
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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Wenyao Xu其他文献
Information Reuse to Accelerate Customized Product Slicing for Additive Manufacturing
信息重用加速增材制造的定制产品切片
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Hang Ye;Tsz;Chi Zhou;Wenyao Xu - 通讯作者:
Wenyao Xu
Exploiting Mallows Distance to Quantify EEG Distribution for Personal Identification
利用锦葵距离量化脑电图分布以进行个人识别
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Baicheng Chen;Kun Woo Cho;Chenhan Xu;Feng Lin;Zhanpeng Jin;Wenyao Xu - 通讯作者:
Wenyao Xu
Anomalous Pattern Recognition in Vital Health Signals via Multimodal Fusion
通过多模态融合识别重要健康信号中的异常模式
- DOI:
10.1007/978-3-030-95593-9_12 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Soumyadeep Bhattacharjee;Huining Li;Wenyao Xu - 通讯作者:
Wenyao Xu
Analyzing dynamic components of social scene parsing strategy in autism spectrum disorder
分析自闭症谱系障碍社交场景解析策略的动态组成部分
- DOI:
10.1109/bhi.2016.7455852 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Chen Song;Aosen Wang;K. Doody;Michelle Hartley;Jana Mertz;Feng Lin;Wenyao Xu - 通讯作者:
Wenyao Xu
PDLens: smartphone knows drug effectiveness among Parkinson's via daily-life activity fusion
PDLens:智能手机通过日常生活活动融合了解帕金森病的药物有效性
- DOI:
10.1145/3372224.3380889 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Hanbin Zhang;Gabriel Guo;Chen Song;Chenhan Xu;K. Cheung;Jasleen Alexis;Huining Li;Dongmei Li;Kun Wang;Wenyao Xu - 通讯作者:
Wenyao Xu
Wenyao Xu的其他文献
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{{ truncateString('Wenyao Xu', 18)}}的其他基金
CyberTraining: Implementation: Small: Infrastructure Cybersecurity Curriculum Development and Training for Advanced Manufacturing Research Workforce
网络培训:实施:小型:基础设施网络安全课程开发和先进制造研究人员培训
- 批准号:
2230025 - 财政年份:2023
- 资助金额:
$ 39.36万 - 项目类别:
Standard Grant
IRES Track I: International Research Experience for Students on Assistive Technology for Aging and Disability
IRES 轨道 I:老龄化和残疾辅助技术学生的国际研究经验
- 批准号:
2106996 - 财政年份:2021
- 资助金额:
$ 39.36万 - 项目类别:
Standard Grant
EAGER: SARE: Collaborative Research: Exploring and Mitigating Attacks of Millimeter-wave Radar Sensors in Autonomous Vehicles
EAGER:SARE:协作研究:探索和减轻自动驾驶汽车中毫米波雷达传感器的攻击
- 批准号:
2028872 - 财政年份:2020
- 资助金额:
$ 39.36万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Collaborative: Cardiac Password: Exploring a Non-Contact and Continuous Approach to Secure User Authentication
SaTC:核心:小型:协作:心脏密码:探索非接触式和连续的安全用户身份验证方法
- 批准号:
1718375 - 财政年份:2017
- 资助金额:
$ 39.36万 - 项目类别:
Standard Grant
TWC SBE: Medium: Collaborative: Brain Hacking: Assessing Psychological and Computational Vulnerabilities in Brain-based Biometrics
TWC SBE:媒介:协作:大脑黑客:评估基于大脑的生物识别技术中的心理和计算漏洞
- 批准号:
1564104 - 财政年份:2016
- 资助金额:
$ 39.36万 - 项目类别:
Continuing Grant
EAGER: Cybermanufacturing: Software/Hardware Combined Acceleration for 3D Printing in Mass Customization
EAGER:网络制造:大规模定制中 3D 打印的软件/硬件组合加速
- 批准号:
1547167 - 财政年份:2015
- 资助金额:
$ 39.36万 - 项目类别:
Standard Grant
EAGER-DynamicData: Collaborative: Exploiting the Dynamically Architectural Configurability for Compressed Sensing
EAGER-DynamicData:协作:利用压缩感知的动态架构可配置性
- 批准号:
1462498 - 财政年份:2015
- 资助金额:
$ 39.36万 - 项目类别:
Standard Grant
TWC SBE: Small: Collaborative: Brain Password: Exploring A Psychophysiological Approach for Secure User Authentication
TWC SBE:小型:协作:大脑密码:探索安全用户身份验证的心理生理学方法
- 批准号:
1423061 - 财政年份:2014
- 资助金额:
$ 39.36万 - 项目类别:
Standard Grant
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