### Abstract

In this paper, 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. An 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. The attacker could use the attack resources to launch attack on the nodes of network. On the other hand, the network defender allocates existed resources of defender 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.

Original language | English (US) |
---|---|

Title of host publication | Advances in Intelligent and Soft Computing |

Pages | 751-758 |

Number of pages | 8 |

Volume | 151 AISC |

DOIs | |

State | Published - 2012 |

Externally published | Yes |

Event | 9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012 - Salamanca, Spain Duration: Mar 28 2012 → Mar 30 2012 |

### Publication series

Name | Advances in Intelligent and Soft Computing |
---|---|

Volume | 151 AISC |

ISSN (Print) | 18675662 |

### Other

Other | 9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012 |
---|---|

Country | Spain |

City | Salamanca |

Period | 3/28/12 → 3/30/12 |

### Fingerprint

### Keywords

- Average Degree of Disconnectivity
- Average DOD
- Contest Success Function
- Game Theory
- Gradient Method
- Network Attack and Defense
- Network Survivability
- Optimization
- Resource Allocation

### ASJC Scopus subject areas

- Computer Science(all)

### Cite this

*Advances in Intelligent and Soft Computing*(Vol. 151 AISC, pp. 751-758). (Advances in Intelligent and Soft Computing; Vol. 151 AISC). https://doi.org/10.1007/978-3-642-28765-7_90

**Resource allocation strategies to maximize network survivability considering of average DOD.** / Lin, Frank Yeong Sung; Chen, Pei-yu; Chen, Quen Ting.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Advances in Intelligent and Soft Computing.*vol. 151 AISC, Advances in Intelligent and Soft Computing, vol. 151 AISC, pp. 751-758, 9th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2012, Salamanca, Spain, 3/28/12. https://doi.org/10.1007/978-3-642-28765-7_90

}

TY - GEN

T1 - Resource allocation strategies to maximize network survivability considering of average DOD

AU - Lin, Frank Yeong Sung

AU - Chen, Pei-yu

AU - Chen, Quen Ting

PY - 2012

Y1 - 2012

N2 - In this paper, 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. An 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. The attacker could use the attack resources to launch attack on the nodes of network. On the other hand, the network defender allocates existed resources of defender 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.

AB - In this paper, 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. An 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. The attacker could use the attack resources to launch attack on the nodes of network. On the other hand, the network defender allocates existed resources of defender 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.

KW - Average Degree of Disconnectivity

KW - Average DOD

KW - Contest Success Function

KW - Game Theory

KW - Gradient Method

KW - Network Attack and Defense

KW - Network Survivability

KW - Optimization

KW - Resource Allocation

UR - http://www.scopus.com/inward/record.url?scp=84864324160&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84864324160&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-28765-7_90

DO - 10.1007/978-3-642-28765-7_90

M3 - Conference contribution

AN - SCOPUS:84864324160

SN - 9783642287640

VL - 151 AISC

T3 - Advances in Intelligent and Soft Computing

SP - 751

EP - 758

BT - Advances in Intelligent and Soft Computing

ER -