Title
Protecting complex infrastructures against multiple strategic attackers
Abstract
Infrastructures are analysed subject to defence by a strategic defender and attack by multiple strategic attackers. A framework is developed where each agent determines how much to invest in defending versus attacking each of multiple targets. A target can have economic, human and symbolic values, which generally vary across agents. Investment expenditure functions for each agent can be linear in the investment effort, concave, convex, logistic, can increase incrementally, or can be subject to budget constraints. Contest success functions (e.g., ratio and difference forms) determine the probability of a successful attack on each target, dependent on the relative investments of the defender and attackers on each target, and on characteristics of the contest. Targets can be in parallel, in series, interlinked, interdependent or independent. The defender minimises the expected damage plus the defence expenditures. Each attacker maximises the expected damage minus the attack expenditures. The number of free choice variables equals the number of agents times the number of targets, or lower if there are budget constraints. Each agent is interested in how his investments vary across the targets, and the impact on his utilities. Alternative optimisation programmes are discussed, together with repeated games, dynamic games and incomplete information. An example is provided for illustration.
Year
DOI
Venue
2011
10.1080/00207720903434789
Int. J. Systems Science
Keywords
Field
DocType
multiple strategic attacker,contest success function,defence expenditure,budget constraint,complex infrastructure,multiple target,investment effort,successful attack,strategic defender,expected damage,analysed subject,attack expenditure,dynamic game,game theory,reliability theory,war,repeated game,terrorism,parallel systems,incomplete information,attack,utility theory
Interdependence,Budget constraint,CONTEST,Operations research,Repeated game,Game theory,Sequential game,Mathematics,Complete information,Reliability theory
Journal
Volume
Issue
ISSN
42
1
0020-7721
Citations 
PageRank 
References 
24
0.93
19
Authors
1
Name
Order
Citations
PageRank
Kjell Hausken153746.28