Recovery and Resource Reallocation Strategies to Maximize Network Survivability for Multi-Stage Defense Resource Allocation under Malicious Attacks
Date Issued
2011
Date
2011
Author(s)
Chen, Quen-Ting
Abstract
The Internet enriches our lives, but it also brings lots of threats to individuals and cooperates from information security. It is difficult to keep network safe forever because cyber attacker could launch attack through the network unlimited by time and space. Consequently, it is a more and more important and critical issue about how to efficiently evaluate network survivability. In this thesis, an innovative metric called Average Degree of Disconnectivity (Average DOD) is proposed. The Average DOD combining the concept of the probability calculated by contest success function with the DOD metric would be used to evaluate the damage degree of network. The larger value of the Average DOD, the more damage degree of the network would be.
A multi-stage network attack-defense scenario as a mathematical model would be used to support network operators to predict that all the likelihood strategies both cyber attacker and network defender would take. In addition, the Average DOD would be used to evaluate damage degree of network. In each stage, the attacker could use the attack resources to launch attack on the nodes of network. On the other hand, the network defender could reallocate existed resources of defender to recover compromised nodes and allocate defense resources to protect survival nodes of network. In the process of problem solving, the “gradient method” and “game theory” would be adopted to find the optimal resource allocation strategies for both cyber attacker and network defender.
Subjects
Average Degree of Disconnectivity
Average DOD
Contest Success Function
Gradient Method
Network Survivability
Optimization
Resource Allocation
Resource Reallocation
Network Recovery
Multi-Stage Network Attack and Defense
Game Theory
Type
thesis
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