课题基金 / 基金详情

Developing a Scalable Infrastructure for Embedded E-Security Incorporating Cryptography and Biometric Authentication

Developing a Scalable Infrastructure for Embedded E-Security Incorporating Cryptography and Biometric Authentication
开发结合密码学和生物特征认证的嵌入式电子安全的可扩展基础设施
批准号:
LP0455324
负责人:
Prof Jiankun Hu
金额:
$24.91万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Linkage Projects
财政年份:
2004
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2004-09-30 至 2007-09-30

项目摘要

项目成果

Prof Jiankun Hu的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
A fundamental flaw in existing embedded e-security technologies is their cryptography-plus-PIN-number infrastructure. This has generated security concerns that have proved a major obstacle to the growth of e-commerce, presently a relatively poor 2% of market share. We aim to design a new infrastructure that can solve this security problem by incorporating cryptography and biometric authentication into a computing resource limited embedded e-security system. The outcomes of this project will be a set of new cryptosystems, new biometrics processing schemes and new onboard resource allocation schemes that will form the basis for the next generation of embedded systems.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Privacy-preserving Biometrics based Authentication and Security
  • 批准号:
    DP200103207
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $27.38万
  • 财政年份:
    2021
  • 负责人:
    Prof Jiankun Hu
  • 依托单位:
Energy big data analytics from a cybersecurity perspective
  • 批准号:
    DP190103660
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $27.14万
  • 财政年份:
    2019
  • 负责人:
    Prof Jiankun Hu
  • 依托单位:
Developing A Smart Farming Oriented Secure Data Infrastructure
  • 批准号:
    LP180100663
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $31.83万
  • 财政年份:
    2019
  • 负责人:
    Prof Jiankun Hu
  • 依托单位:
A theoretical framework for practical partial fingerprint identification
  • 批准号:
    LP120100595
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $10.4万
  • 财政年份:
    2012
  • 负责人:
    Prof Jiankun Hu
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis