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Collaborative Research: NETS-NBD: RIDR: Towards Robust Inter-Domain Routing: Measurements, Models, and Deployable Tools

Collaborative Research: NETS-NBD: RIDR: Towards Robust Inter-Domain Routing: Measurements, Models, and Deployable Tools
协作研究:NETS-NBD:RIDR:迈向稳健的域间路由:测量、模型和可部署工具
批准号:
0721736
负责人:
Christos Faloutsos
金额:
$24.5万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-08-01 至 2011-07-31

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中文摘要
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英文摘要
Can ten or a hundred compromised BGP routers create Internet-wide instability? How how can we protect against it? BGP routing problems are hard to study, for the following reasons: (a) a lack of complete and accurate BGP topology, (b) difficulty in simulating with regards to computational complexity and accuracy, and (c) difficulty of deploying new tools to improve the BGP security.The goal of this project is exactly to address the above issues, and specifically to measure, model and guard against BGP routing problems. The overarching vision is to provide the foundation for not only improving the current BGP, but also for providing new insight and guidelines for the design of novel inter-domain routing approaches.The work focuses on three related research tasks. In the first task, the work will develop and maintain a relatively complete and accurate BGP topology as an ongoing effort and to generate small realistic topologies for simulations purposes, with provable topological properties. In the second task, the project will use and extend epidemic spreading techniques to model the network-wide propagation of BGP instability. In the third task, the project will develop a comprehensive reactive framework to detect erroneous BGP updates, which could be readily deployed today.Broader Impact. This work is an important step towards a more robust Internet. It is widely feared that the next generation of cyber-attacks could target the control plane. However, even today, BGP routing has its share of vulnerabilities and problems which cost millions of dollars in service disruption.
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III: Medium: Collaborative Research: Collective Opinion Fraud Detection: Identifying and Integrating Cues from Language, Behavior, and Networks
  • 批准号:
    1408924
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.99万
  • 财政年份:
    2014
  • 负责人:
    Christos Faloutsos
  • 依托单位:
TWC: Medium: Collaborative: Know Thy Enemy: Data Mining Meets Networks for Understanding Web-Based Malware Dissemination
  • 批准号:
    1314632
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.33万
  • 财政年份:
    2013
  • 负责人:
    Christos Faloutsos
  • 依托单位:
CGV: Small: Making Sense out of Large Graphs - Bridging HCI with Data Mining
  • 批准号:
    1217559
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $49.98万
  • 财政年份:
    2012
  • 负责人:
    Christos Faloutsos
  • 依托单位:
BIGDATA: Mid-Scale: DA: Collaborative Research: Big Tensor Mining: Theory, Scalable Algorithms and Applications
  • 批准号:
    1247489
  • 项目类别:
    Standard Grant
  • 资助金额:
    $89.49万
  • 财政年份:
    2012
  • 负责人:
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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:
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  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
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  • 依托单位:
Cell Research
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