Assessing the vulnerability of the fiber infrastructure to disasters

Communication networks are vulnerable to natural disasters, such as earthquakes or floods, as well as to physical attacks, such as an Electromagnetic Pulse (EMP) attack. Such real- world events happen in specific geographical locations and disrupt specific parts of the network. Therefore, the geogra...

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Bibliographic Details
Main Authors: Neumayer, Sebastian James (Contributor), Zussman, Gil (Author), Cohen, Reuven (Author), Modiano, Eytan H. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-09-30T16:31:38Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Neumayer, Sebastian James  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Modiano, Eytan H.  |e contributor 
100 1 0 |a Neumayer, Sebastian James  |e contributor 
100 1 0 |a Modiano, Eytan H.  |e contributor 
700 1 0 |a Zussman, Gil  |e author 
700 1 0 |a Cohen, Reuven  |e author 
700 1 0 |a Modiano, Eytan H.  |e author 
245 0 0 |a Assessing the vulnerability of the fiber infrastructure to disasters 
260 |b Institute of Electrical and Electronics Engineers,   |c 2010-09-30T16:31:38Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/58792 
520 |a Communication networks are vulnerable to natural disasters, such as earthquakes or floods, as well as to physical attacks, such as an Electromagnetic Pulse (EMP) attack. Such real- world events happen in specific geographical locations and disrupt specific parts of the network. Therefore, the geographical layout of the network determines the impact of such events on the network's connectivity. In this paper, we focus on assessing the vulnerability of (geographical) networks to such disasters. In particular, we aim to identify the most vulnerable parts of the network. That is, the locations of disasters that would have the maximum disruptive effect on the network in terms of capacity and connectivity. We consider graph models in which nodes and links are geographically located on a plane, and model the disaster event as a line segment or a circular cut. We develop algorithms that find a worst- case line segment cut and a worst-case circular cut. Then, we obtain numerical results for a specific backbone network, thereby demonstrating the applicability of our algorithms to real-world networks. Our novel approach provides a promising new direction for network design to avert geographical disasters or attacks. 
520 |a United States. Defense Threat Reduction Agency (grant number HDTRA1-07-1-0004) 
520 |a National Science Foundation (grant number CNS-0830961) 
520 |a National Defense Science and Engineering Graduate Fellowship 
520 |a Marie Curie International Fellowship 
546 |a en_US 
655 7 |a Article 
773 |t IEEE INFOCOM 2009