课题基金 / 基金详情

Collaborative Research: Module-Based Computer Security Courses and Laboratory for Small and Medium Sized Universities

Collaborative Research: Module-Based Computer Security Courses and Laboratory for Small and Medium Sized Universities
合作研究:中小型大学基于模块的计算机安全课程和实验室
批准号:
0311385
负责人:
Ping Chen
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-06-15 至 2006-05-31

项目摘要

项目成果

Ping Chen的其他基金

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中文摘要
翻译
计算机科学(31)休斯顿大学克利尔湖分校和休斯顿市中心大学的这一合作项目为全国计算程序灵活采用计算机安全课件建立了一个课程模型。这种课程模式尤其有利于规模较小的学院/大学的计算机课程,这些学院/大学的资源往往有限。该模型由一系列安全模块组成,其中大部分是由该项目和分布式计算机安全实验室(DCSL)开发的,DCSL由两个远程连接的实验室组成。这些实验室与各自的园区主干绝缘,并配备了最先进的仪器,包括无线和移动网络。DCSL提供了一个可以严格研究分布式安全的共享平台。该模型改编自纽约理工大学信息系统和互联网安全(ISIS)实验室。ISIS实验室支持两门课程:计算机安全和网络安全。对ISIS模型的扩展包括基于模块的方法和新的主题领域,如无线安全和数据库安全。该项目的更广泛影响包括:创建基于模块的模式,使大学能够选择模块并支持课件来创建定制课程;以及分布式实验室模式,使大学能够在不干扰其校园网的情况下建立分布式安全实验室。
英文摘要
Computer Science (31) This collaborative project between the University of Houston at Clear Lake and the University of Houston Downtown establishes a curriculum model for the flexible adoption of computer security courseware by nationwide computing programs. The curriculum model especially benefits computing programs in smaller colleges/universities, where resources tend to be limited. Intellectual merit is present in the model which consists of an array of security modules, a majority of which are developed by this project and the Distributed Computer Security Laboratory (DCSL), which consists of two remotely connected labs. The labs are insulated from their respective campus backbone and equipped with state-of-the-art instrumentations, including wireless and mobile networks. The DCSL provides a shared platform where distributed security can be rigorously studied. This model is an adaptation from the Information Systems and Internet Security (ISIS) Lab at Polytechnic University of New York. The ISIS Lab supports two courses: Computer Security and Network Security. Extensions to the ISIS model include a module-based approach and new subject areas, such as Wireless Security and Database Security. The broader impacts of the project include: creation of the module-based model, enabling universities to select modules and supporting courseware to create customized curriculum; and the distributed lab model, enabling universities to build a distributed security lab without interfering with their campus network.
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Collaborative Research: EAGER: Deep Learning-based Multimodal Analysis of Sleep
  • 批准号:
    2334665
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.5万
  • 财政年份:
    2023
  • 负责人:
    Ping Chen
  • 依托单位:
III: Small: Collaborative Research: Study of Neural Architectural Components in Physics-Informed Deep Neural Networks for Extreme Flood Prediction
  • 批准号:
    2008202
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $29.92万
  • 财政年份:
    2020
  • 负责人:
    Ping Chen
  • 依托单位:
III: Small: EAGER: Representation Learning of Connotation and Denotation Knowledge for Atomic Information Units
  • 批准号:
    1914489
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.0万
  • 财政年份:
    2019
  • 负责人:
    Ping Chen
  • 依托单位:
Supporting U.S.-Based Students to Participate in the 2018 IEEE International Conference on Data Mining (ICDM 2018)
  • 批准号:
    1836469
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.5万
  • 财政年份:
    2018
  • 负责人:
    Ping Chen
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)