课题基金 / 基金详情

NSF Workshop on Unwanted Traffic

NSF Workshop on Unwanted Traffic
NSF 有害流量研讨会
批准号:
0841273
负责人:
Zhuoqing Mao
金额:
$2.8万
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:
2008-09-15 至 2010-08-31

项目摘要

项目成果

Zhuoqing Mao的其他基金

相似基金

相关文献

中文摘要
翻译
提案编号:0841273 PI: 卓庆湾Mao机构:密歇根大学安娜堡分校领导标题:NSF研讨会上不想要的恶意软件本次研讨会的目的是提供一个场所,讨论的重要和棘手的问题,拒绝服务攻击,作为例证,最近对爱沙尼亚和格鲁吉亚的攻击。 这种攻击几乎不可能用现有技术来减轻。 本次研讨会的参与者将尝试确定新的解决方案,以防止和/或科普拒绝服务攻击,可能涉及全新的网络安全架构。 工业界参与研讨会对研讨会的成功至关重要,因为显然需要网络代理商,如互联网服务提供商,合作查明不必要的通信量,并阻止这种通信量,即使他们的客户的某些通信量被错误地阻止。
英文摘要
Proposal Number: 0841273PI: Zhuoqing M. MaoInstitution: University of Michigan Ann ArborLeadTitle: NSF Workshop on Unwanted TrafficThe objective of this workshop is to provide a venue for discussion about the important and vexing problem of denial of service attacks, as exemplified by the recent attacks on Estonia and Georgia. Such attacks are all but impossible to mitigate with existing technology. The participants of this workshop will attempt to identify new solutions to prevent and/or cope with denial of service attacks, perhaps involving fundamentally new network security architecture. Industry involvement in the workshop is vital to its success, as there is a clear need for network agents, such as ISPs to cooperatively identify unwanted traffic and to block such traffic, even if some traffic of their clients is erroneously blocked.The workshop will produce a detailed report to be posted on the NSF web site.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: CISE: Large: Integrated Networking, Edge System and AI Support for Resilient and Safety-Critical Tele-Operations of Autonomous Vehicles
IMR: MT: xGTracker -- Mobile xG Performance Monitoring and Data Collection Platform to Enable Large-Scale Crowd-Sourced Measurement
CPS: Medium: Collaborative Research: Transforming Connected and Automated Transportation with Smart Networking, Cooperative Sensing, and Edge Computing
SBIR Phase I: Automated Safety/Security Compliance Verification and Enforcement for Autonomous Vehicle Software
  • 批准号:
    2015019
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.5万
  • 财政年份:
    2020
  • 负责人:
    Zhuoqing Mao
  • 依托单位:
海外基金