Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques
With more and more mobile device users, an increasingly important and critical issue is how to efficiently evaluate mobile network survivability. In this paper, a novel metric called Average Degree of Disconnectivity (Average DOD) is proposed, in which the concept of probability is calculated by the...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/207141 |
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| _version_ | 1850159127292018688 |
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| author | Pei-Yu Chen Frank Yeong-Sung Lin |
| author_facet | Pei-Yu Chen Frank Yeong-Sung Lin |
| author_sort | Pei-Yu Chen |
| collection | DOAJ |
| description | With more and more mobile device users, an increasingly important and critical issue is how to efficiently evaluate mobile network survivability. In this paper, a novel metric called Average Degree of Disconnectivity (Average DOD) is proposed, in which the concept of probability is calculated by the contest success function. The DOD metric is used to evaluate the damage degree of the network, where the larger the value of the Average DOD, the more the damage degree of the network. A multiround network attack-defense scenario as a mathematical model is used to support network operators to predict all the strategies both cyber attacker and network defender would likely take. In addition, the Average DOD would be used to evaluate the damage degree of the network. In each round, the attacker could use the attack resources to launch attacks on the nodes of the target network. Meanwhile, the network defender could reallocate its existing resources to recover compromised nodes and allocate defense resources to protect the survival nodes of the network. In the approach to solving this problem, the “gradient method” and “game theory” are adopted to find the optimal resource allocation strategies for both the cyber attacker and mobile network defender. |
| format | Article |
| id | doaj-art-5fabbb53cb07444488229bc7d7c7102d |
| institution | OA Journals |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-5fabbb53cb07444488229bc7d7c7102d2025-08-20T02:23:40ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/207141207141Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization TechniquesPei-Yu Chen0Frank Yeong-Sung Lin1Department of Information Management, National Taiwan University, Taipei 106, TaiwanDepartment of Information Management, National Taiwan University, Taipei 106, TaiwanWith more and more mobile device users, an increasingly important and critical issue is how to efficiently evaluate mobile network survivability. In this paper, a novel metric called Average Degree of Disconnectivity (Average DOD) is proposed, in which the concept of probability is calculated by the contest success function. The DOD metric is used to evaluate the damage degree of the network, where the larger the value of the Average DOD, the more the damage degree of the network. A multiround network attack-defense scenario as a mathematical model is used to support network operators to predict all the strategies both cyber attacker and network defender would likely take. In addition, the Average DOD would be used to evaluate the damage degree of the network. In each round, the attacker could use the attack resources to launch attacks on the nodes of the target network. Meanwhile, the network defender could reallocate its existing resources to recover compromised nodes and allocate defense resources to protect the survival nodes of the network. In the approach to solving this problem, the “gradient method” and “game theory” are adopted to find the optimal resource allocation strategies for both the cyber attacker and mobile network defender.http://dx.doi.org/10.1155/2013/207141 |
| spellingShingle | Pei-Yu Chen Frank Yeong-Sung Lin Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques Journal of Applied Mathematics |
| title | Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques |
| title_full | Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques |
| title_fullStr | Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques |
| title_full_unstemmed | Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques |
| title_short | Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques |
| title_sort | recovery and resource allocation strategies to maximize mobile network survivability by using game theories and optimization techniques |
| url | http://dx.doi.org/10.1155/2013/207141 |
| work_keys_str_mv | AT peiyuchen recoveryandresourceallocationstrategiestomaximizemobilenetworksurvivabilitybyusinggametheoriesandoptimizationtechniques AT frankyeongsunglin recoveryandresourceallocationstrategiestomaximizemobilenetworksurvivabilitybyusinggametheoriesandoptimizationtechniques |