课题基金 / 基金详情

NeTS-NECO: Collaborative Research: New Approaches for Secure and Dependable Distributed Data Storage and Access Control in Mission-critical Wireless Sensor Networks

NeTS-NECO: Collaborative Research: New Approaches for Secure and Dependable Distributed Data Storage and Access Control in Mission-critical Wireless Sensor Networks
NeTS-NECO:协作研究:关键任务无线传感器网络中安全可靠的分布式数据存储和访问控制的新方法
批准号:
0831963
负责人:
Kui Ren
金额:
$27.37万
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
项目状态:
已结题
起止时间:
2008-09-01 至 2012-08-31

项目摘要

项目成果

Kui Ren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
Distributed data storage and access in wireless sensor networks (WSNs) recently has found increased popularity driven by many mission-critical applications. While WSN security has been extensively studied in recent years with focus on network communication security, little attention has been paid on the security and dependability of distributed data storage and access control. However, it is of paramount importance to ensure data security and dependability in the mission-critical applications, where data genuineness and availability can be about life or death. This project is aimed at solving this important challenge. On the one hand, the problem of how to store the sensor network data in a distributed manner while satisfying the requirements of both fault-tolerance and compromise-resilience is studied. The problem of dynamic data security and dependability after the initial data storage is tackled as along the time sensors may be compromised and/or behave Byzantine failures. On the other hand, researches on distributed and fine-grained data access control are carried out to ensure sensor network data can only be accessed by authorized network users. The worst-case scenario is considered in which not only sensors may be compromised, but also network users may not be fully trusted. Novel symmetric key cryptography (SKC) and public key cryptography (PCK) based approaches are proposed, built on top of the in-depth security analysis of the state-of-the-art SKC solutions and efficiency enhancements over the most recent PKC primitives such as Ciphertext Policy- and Key Policy- Attribute Based Encryption, i.e., CP-ABE and KP-ABE.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Coupling PDE-Based Computational Inversion and Learning Via Weighted Optimization
  • 批准号:
    2309802
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.95万
  • 财政年份:
    2023
  • 负责人:
    Kui Ren
  • 依托单位:
RTG: Research Training in Applied Mathematics at Columbia University
  • 批准号:
    1937254
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $191.32万
  • 财政年份:
    2020
  • 负责人:
    Kui Ren
  • 依托单位:
Inverse Problems and Imaging with Nonlinear Physics
  • 批准号:
    1913309
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.39万
  • 财政年份:
    2019
  • 负责人:
    Kui Ren
  • 依托单位:
Hybrid Imaging with Acoustic and Optics: Efficient Computation via Constructive Analysis
  • 批准号:
    1620473
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $23.9万
  • 财政年份:
    2016
  • 负责人:
    Kui Ren
  • 依托单位:
海外基金