Resource allocation strategies under attack-defense dual-role and malicious attacks

Pei Yu Chen; Ying Ju Chen; Frank Yeong Sung Lin

doi:10.1007/978-3-642-55038-6_107

Resource allocation strategies under attack-defense dual-role and malicious attacks

Pei Yu Chen, Ying Ju Chen, Frank Yeong Sung Lin

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

Abstract

How to efficiently evaluate the network survivability is a critical issue in nowadays. Hence, we develop a multi-round network attack-defense scenario with dual-role players, who can attack and defend, and establish a mathematical model to optimize resource allocation and then predict the network survivability by the Average DOD. In each round, the players could allocate their attack resources on the nodes of their own network and on another player's network after updating related information about another player's. Furthermore, they could reallocate existing defense resources and repair compromised nodes. To solve the problem, the gradient method and the game theory would be adopted to find the optimal resource allocation strategies for both players.

Original language	English (US)
Title of host publication	Future Information Technology
Publisher	Springer Verlag
Pages	689-695
Number of pages	7
ISBN (Print)	9783642550379
DOIs	https://doi.org/10.1007/978-3-642-55038-6_107
State	Published - 2014
Externally published	Yes
Event	9th FTRA InternationalConference on Future Information Technology, FutureTech 2014 - Zhangjiajie, China Duration: May 28 2014 → May 31 2014

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	309 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Other

Other	9th FTRA InternationalConference on Future Information Technology, FutureTech 2014
Country/Territory	China
City	Zhangjiajie
Period	5/28/14 → 5/31/14

Keywords

Average DOD
Multi-Round
Network Attack-Defense Dual-Role
Network Survivability
Optimization
Resource Allocation

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-3-642-55038-6_107

Cite this

Chen, PY, Chen, YJ & Lin, FYS 2014, Resource allocation strategies under attack-defense dual-role and malicious attacks. in Future Information Technology. Lecture Notes in Electrical Engineering, vol. 309 LNEE, Springer Verlag, pp. 689-695, 9th FTRA InternationalConference on Future Information Technology, FutureTech 2014, Zhangjiajie, China, 5/28/14. https://doi.org/10.1007/978-3-642-55038-6_107

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title = "Resource allocation strategies under attack-defense dual-role and malicious attacks",

abstract = "How to efficiently evaluate the network survivability is a critical issue in nowadays. Hence, we develop a multi-round network attack-defense scenario with dual-role players, who can attack and defend, and establish a mathematical model to optimize resource allocation and then predict the network survivability by the Average DOD. In each round, the players could allocate their attack resources on the nodes of their own network and on another player's network after updating related information about another player's. Furthermore, they could reallocate existing defense resources and repair compromised nodes. To solve the problem, the gradient method and the game theory would be adopted to find the optimal resource allocation strategies for both players.",

keywords = "Average DOD, Multi-Round, Network Attack-Defense Dual-Role, Network Survivability, Optimization, Resource Allocation",

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year = "2014",

doi = "10.1007/978-3-642-55038-6_107",

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isbn = "9783642550379",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

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AU - Chen, Pei Yu

AU - Chen, Ying Ju

AU - Lin, Frank Yeong Sung

PY - 2014

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N2 - How to efficiently evaluate the network survivability is a critical issue in nowadays. Hence, we develop a multi-round network attack-defense scenario with dual-role players, who can attack and defend, and establish a mathematical model to optimize resource allocation and then predict the network survivability by the Average DOD. In each round, the players could allocate their attack resources on the nodes of their own network and on another player's network after updating related information about another player's. Furthermore, they could reallocate existing defense resources and repair compromised nodes. To solve the problem, the gradient method and the game theory would be adopted to find the optimal resource allocation strategies for both players.

AB - How to efficiently evaluate the network survivability is a critical issue in nowadays. Hence, we develop a multi-round network attack-defense scenario with dual-role players, who can attack and defend, and establish a mathematical model to optimize resource allocation and then predict the network survivability by the Average DOD. In each round, the players could allocate their attack resources on the nodes of their own network and on another player's network after updating related information about another player's. Furthermore, they could reallocate existing defense resources and repair compromised nodes. To solve the problem, the gradient method and the game theory would be adopted to find the optimal resource allocation strategies for both players.

KW - Average DOD

KW - Multi-Round

KW - Network Attack-Defense Dual-Role

KW - Network Survivability

KW - Optimization

KW - Resource Allocation

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U2 - 10.1007/978-3-642-55038-6_107

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ER -

Resource allocation strategies under attack-defense dual-role and malicious attacks

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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