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This means that if the switches are compromised by an attacker and do not follow the order of the network manager, a huge network disaster will occur.
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The intention of this chapter is to provide with design considerations to help avoid potential network disasters.
The past few years have brought about some major network disasters, and even the most tried-and-true public networks have been susceptible.
A DoS/DDoS attack may result in network disasters due to the energy exhaustion of the nodes along the attacking path.
Furthermore, restorative strategies are considered to increase the efficiency and robustness of the proposed relief network under disaster.
Open image in new window Fig. 3 Network of disaster policy-making departments of Phase I (1949 1978) in China.
Open image in new window Fig. 9 Network of disaster policy-making departments of Phase III (2004 2008) in China.
Open image in new window Fig. 6 Network of disaster policy-making departments of Phase II (1979 2003) in China.
Open image in new window Fig. 12 Network of disaster policy-making departments of Phase IV (2009 present) in China.
This paper proposes a multi-objective mixed integer linear programming model for the design of an integrated blood supply chain network for disaster relief.
A framework for data delivery in a large-scale network for disaster management is proposed for energy efficiency using Internet of Things (IoT) (Al-Turjman 2017).
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