CRII: SaTC: Physical Side-Channel Attacks in Biometric System
CRII:SaTC:生物识别系统中的物理侧信道攻击
基本信息
- 批准号:2302084
- 负责人:
- 金额:$ 17.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-10-01 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Biometric traits are permanent and difficult to revoke if compromised, unlike keys or passwords. By requiring the storage of biometric trait measurements (templates) for subjects, biometric systems are vulnerable to violation of user privacy. Unprotected storage of biometric reference data poses severe privacy threats such as identity theft. Despite recent research in the security of biometric systems, research on physical side-channel attacks in biometric systems are still nascent, especially when compared to cryptographic and information technologies. Although side-channel attacks are well-developed techniques in the information technology security and cryptography fields, they have been understudied in the context of biometric systems. The project’s novel aspects are developing methodologies such as metrics, deep learning algorithms, protocols, and tools for physical side-channel attacks and countermeasures in biometric systems. This project intends to be a first step towards bridging the knowledge gap between seemingly isolated research field on hardware security and biometric security. The project's broader significance and importance are improvement of security and privacy of biometric systems against physical side channel attacks followed by protection schemes and involvement in the ongoing biometric evaluation and standardization efforts led by the National Institute of Standards and Technology.This project offers insights for future biometric designers on how to efficiently take advantage of physical side-channel attack frameworks to recognize vulnerabilities in biometric systems. The project outcomes advance both attack (physical side-channel) and defense mechanism (domain-specific architecture) in biometric systems. The biometric protection scheme is evaluated according to International Organization for Standardization and the International Electrotechnical Commission (ISO/IEC) Standard 24745. Due to the wide adoption of biometric systems in society, this project can have a positive impact on a broad range of activities involving identity cards, border identity checkpoints, and patient authentication in healthcare.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.
与密钥或密码不同,生物特征是永久性的,一旦被泄露就很难撤销。由于需要存储受试者的生物特征测量值(模板),生物识别系统很容易侵犯用户隐私。未受保护的生物特征参考数据存储会造成严重的隐私威胁,如身份盗窃。尽管最近对生物识别系统的安全性进行了研究,但对生物识别系统中物理侧信道攻击的研究仍处于起步阶段,特别是与密码和信息技术相比。虽然侧信道攻击在信息技术安全和密码学领域是非常发达的技术,但在生物识别系统的背景下,它们的研究还不够充分。该项目的新方面是开发方法,如度量、深度学习算法、协议和工具,用于生物识别系统中的物理侧信道攻击和对策。该项目旨在成为弥合硬件安全和生物识别安全之间看似孤立的研究领域之间知识鸿沟的第一步。该项目的更广泛的意义和重要性是提高生物识别系统的安全性和隐私性,防止物理侧通道攻击,随后是保护方案,并参与由国家标准与技术研究所领导的正在进行的生物识别评估和标准化工作。该项目为未来的生物识别设计人员提供了如何有效利用物理侧信道攻击框架来识别生物识别系统漏洞的见解。项目成果推进了生物识别系统中的攻击(物理侧通道)和防御机制(特定领域架构)。生物识别防护方案根据国际标准化组织和国际电工委员会(ISO/IEC)标准24745进行评估。由于生物识别系统在社会上的广泛采用,该项目可以对涉及身份证、边境身份检查站和医疗保健中的患者身份验证的广泛活动产生积极影响。该奖项反映了美国国家科学基金会的法定使命,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(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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Nima Karimian其他文献
Understanding ChatGPT: Impact Analysis and Path Forward for Teaching Computer Science and Engineering
了解 ChatGPT:计算机科学与工程教学的影响分析和前进道路
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Paramarshi Banerjee;Anurag Srivastava;Donald Adjeroh;Y. R. Reddy;Nima Karimian;Ramana Reddy - 通讯作者:
Ramana Reddy
Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach
非接触式指纹生物识别反欺骗:一种无监督的深度学习方法
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Banafsheh Adami;Nima Karimian - 通讯作者:
Nima Karimian
BLOcKeR: A Biometric Locking Paradigm for IoT and the Connected Person
BLOCKE:物联网和互联人员的生物识别锁定范例
- DOI:
10.1007/s41635-021-00121-5 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Sumaiya Shomaji;Zimu Guo;F. Ganji;Nima Karimian;D. Woodard;Domenic Forte - 通讯作者:
Domenic Forte
On the vulnerability of ECG verification to online presentation attacks
心电图验证对在线演示攻击的脆弱性研究
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Nima Karimian;D. Woodard;Domenic Forte - 通讯作者:
Domenic Forte
How to Generate Robust Keys from Noisy DRAMs?
如何从嘈杂的 DRAM 生成鲁棒密钥?
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Nima Karimian;Fatemeh Tehranipoor - 通讯作者:
Fatemeh Tehranipoor
Nima Karimian的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Nima Karimian', 18)}}的其他基金
Collaborative Research: SHF: Small: Towards Robust Deep Learning Computing on GPUs
合作研究:SHF:小型:在 GPU 上实现稳健的深度学习计算
- 批准号:
2301940 - 财政年份:2022
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Small: Towards Robust Deep Learning Computing on GPUs
合作研究:SHF:小型:在 GPU 上实现稳健的深度学习计算
- 批准号:
2114519 - 财政年份:2021
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
CRII: SaTC: Physical Side-Channel Attacks in Biometric System
CRII:SaTC:生物识别系统中的物理侧信道攻击
- 批准号:
2104520 - 财政年份:2021
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
相似海外基金
SaTC: CORE: Small: Socio-Technical Approaches for Securing Cyber-Physical Systems from False Claim Attacks
SaTC:核心:小型:保护网络物理系统免受虚假声明攻击的社会技术方法
- 批准号:
2310470 - 财政年份:2023
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Mitigating Threats of Physical-Domain Signal Injections on Security, Reliability, and Safety of Sensing and Control Systems
SaTC:核心:小型:减轻物理域信号注入对传感和控制系统的安全性、可靠性和安全性的威胁
- 批准号:
2231682 - 财政年份:2023
- 资助金额:
$ 17.44万 - 项目类别:
Continuing Grant
SaTC: CORE: Medium: Physically Unclonable Wireless Systems (PUWS) for RF Fingerprinting and Physical Layer Security
SaTC:核心:中:用于射频指纹识别和物理层安全的物理不可克隆无线系统 (PUWS)
- 批准号:
2233774 - 财政年份:2023
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Towards Deceptive and Domain-Specific Cyber-Physical Honeypots
SaTC:核心:小型:走向欺骗性和特定领域的网络物理蜜罐
- 批准号:
2231651 - 财政年份:2023
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Robust Speaker and Speech Recognition Under AI-Driven Physical and Digital Attacks
SaTC:核心:小型:人工智能驱动的物理和数字攻击下的鲁棒扬声器和语音识别
- 批准号:
2310207 - 财政年份:2023
- 资助金额:
$ 17.44万 - 项目类别:
Continuing Grant
SaTC: CORE: Small: Data-driven Attack and Defense Modeling for Cyber-physical Systems
SaTC:核心:小型:网络物理系统的数据驱动攻击和防御建模
- 批准号:
2134076 - 财政年份:2022
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Leveraging Physical Side-Channel Information to Build Detection-Based Rowhammer Defenses
SaTC:核心:小型:利用物理侧信道信息构建基于检测的 Rowhammer 防御
- 批准号:
2147217 - 财政年份:2021
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Leveraging Physical Side-Channel Information to Build Detection-Based Rowhammer Defenses
SaTC:核心:小型:利用物理侧信道信息构建基于检测的 Rowhammer 防御
- 批准号:
2038076 - 财政年份:2021
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
CRII: SaTC: Physical Side-Channel Attacks in Biometric System
CRII:SaTC:生物识别系统中的物理侧信道攻击
- 批准号:
2104520 - 财政年份:2021
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: CORE: Medium: Cyber-threat Detection and Diagnosis in Multistage Manufacturing Systems through Cyber and Physical Data Analytics
协作研究:SaTC:核心:中:通过网络和物理数据分析进行多级制造系统中的网络威胁检测和诊断
- 批准号:
2019311 - 财政年份:2020
- 资助金额:
$ 17.44万 - 项目类别:
Standard Grant