Paper Info
Title
Research advances in automated red teaming
Abstract
We present, combine and apply novel research advances to Automated Red Teaming (ART). ART is an automated vulnerability assessment tool which is employed to uncover the hard-to-predict and potentially critical elements of military operations. ART is principally based on the use of agent-based modelling/simulation, data farming and evolutionary computation. In this paper, we present two distinct computational methods to address multiple issues of ART: constraint handling and computing budget. These novel techniques originate from the research fields of evolutionary computation and cloud computing. These techniques are applied to a military toy model which was developed with the agent-based simulation platform MANA. We then discuss another potential bottleneck of ART: many-objective optimization. The aim of this research is to optimize ART to best assist defense experts in operational analysis and, ultimately, in critical decision making.
Year
DOI
Venue
2010
10.1145/1878537.1878586
Spring Simulation Multiconference
Keywords
Field
DocType
computing budget,cloud computing,military agent-based modelling and simulation,automated red teaming,military operation,automated red,agent-based simulation platform,research field,evolutionary computation,critical decision,constraint handling,agent-based modelling,critical element,novel research advance,evolutionary computing,vulnerability assessment
Bottleneck,Toy model,Vulnerability assessment,Simulation,Computer science,Evolutionary computation,Data farming,Cloud computing
Conference
Citations 
PageRank 
References 
2
0.40
21
Authors
5
Name
Order
Citations
PageRank
James Decraene15010.17
Fanchao Zeng2132.59
Malcolm Yoke Hean Low369452.19
Suiping Zhou453046.88
Wentong Cai51928197.81