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Maximization of Network Survivability via Defense Resource Allocation under Multi-Stage Attack-Defense Scenarios by Using Optimization Techniques
Date Issued
2016
Date
2016
Author(s)
Chen, Pei-Yu
Abstract
Internet has become worldwide, publicly accessible network of interconnected computer networks. Specifically, it becomes the tools that terrorists can use to attack the nations and their economy or enterprises. Thus, it becomes an important and critical issue about how to efficiently evaluate network survivability for any network operator in a nation or an enterprise. We intent to proposed an effective and accurate network survivability metric to provide some engineering guidelines to improve network security. In this research, an innovative metric called Average Degree of Disconnectivity (Average DOD) is proposed. It 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 is used to support network operators to predict that all the likelihood strategies both cyber attacker and network defender would take in this research. 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 the target 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 optimization techniques is adopted to find the optimal resource allocation strategies for both cyber attacker and mobile network defender.
Subjects
Average Degree of Disconnectivity
Average DOD
Contest Success Function
Network Survivability
Optimization
Resource Allocation
Resource Reallocation
Network Recovery
Multi-Stage Network Attack and Defense
SDGs
Type
thesis