TC: Small: Collaborative Research: Protecting Networks from Large-Scale Physical Attacks and Disasters
TC: Small: Collaborative Research: Protecting Networks from Large-Scale Physical Attacks and Disasters
批准号:
1017114
负责人:
Alon Efrat
金额:
$15.1万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-01 至 2015-06-30
中文摘要
电信网络在我们社会的所有部门都发挥着至关重要的作用,在危机期间尤其重要。由于网络依赖于物理基础设施(例如光纤和路由器),因此它们很容易受到自然灾害(如地震和洪水)或物理攻击(如电磁脉冲(EMP)攻击)的影响。该项目研究灾害或攻击对电信基础设施的影响,并制定减轻其影响的机制。该项目考虑在特定地理区域导致大量故障的事件。它使用考虑网络地理位置和攻击特征的概率和几何故障模型。在这些模型下,开发了识别网络中最脆弱部分的技术。此外,还设计了提供先验保护计划的工具。最后,提出了提高网络恢复能力的恢复算法。该项目将从根本上了解网络在遭受灾害或攻击时的脆弱性。它还将提供网络算法,以减轻此类故障的影响并从中恢复。因此,在发生攻击和灾难时,它有可能显著提高网络的可用性和性能。这对于灾难恢复至关重要,特别是在S这个越来越依赖通信基础设施的当今社会。此外,更广泛的影响将包括针对学童的外联活动,以及将成果纳入高级研究生班级。
英文摘要
Telecommunication networks play a vital role in all sectors of our society and are especially important during a crisis. Since networks rely on physical infrastructure (e.g., fibers and routers), they are vulnerable to natural disasters, such as earthquakes and floods, or physical attacks, such as an Electromagnetic Pulse (EMP) attack. This project studies the impact of a disaster or attack on the telecommunications infrastructure and develops mechanisms to mitigate their effect. The project considers events that cause a large number of failures in a specific geographical region. It uses probabilistic and geometric failure models that take into account the geography of the network and the attack characteristics. Under these models, techniques to identify the most vulnerable parts of the network are developed. Moreover, tools to provide a-priori protection plan are designed. Finally, restoration algorithms that will improve the resilience of the network are developed. The project will provide a fundamental understanding of the vulnerability of networks to disasters or attacks. It will also provide network algorithms to mitigate the impact of, and recover from, such failures. Therefore, it has the potential to significantly enhance the availability and performance of networks in the event of attacks and disasters. This is crucial for disaster recovery, especially in today?s society that is increasingly reliant on the availability of a communications infrastructure. In addition, the broader impacts will include outreach activities to school children, and incorporation of the results into advanced graduate classes.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
CAREER: Pattern Matching, Realistic Input Models and Sensor Placement. UsefulAlgorithms in Computational Geometry
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批准号:0348000
-
项目类别:Continuing Grant
-
资助金额:$40.32万
-
财政年份:2004
-
负责人:Alon Efrat
-
依托单位:
ITR/Collaborative Research: Intelligent Topology Control and Energy Provisioning for Wireless Video Sensor Networks
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批准号:0312443
-
项目类别:Standard Grant
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资助金额:$0.0万
-
财政年份:2003
-
负责人:Alon Efrat
-
依托单位:
国内基金
海外基金
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