A new Graph To Represent Complex Plan Resolution Domain

Taking the botnet incident response plan decision-making as an example, we construct a new graph model to represent complex plan resolution domain by using action decomposition. In this model we introduced action layer, relation between subactions and decompose the complex incident response plan int...

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Main Authors: LIU, Ping (Author), YU, HaiFeng (Author), XU, BoYi (Author), LI, Jin (Author), JIN, Qi (Author), TANG, Hong (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2013-01-10.
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001 ijeecs1934_772
042 |a dc 
100 1 0 |a LIU, Ping  |e author 
100 1 0 |e contributor 
700 1 0 |a YU, HaiFeng  |e author 
700 1 0 |a XU, BoYi  |e author 
700 1 0 |a LI, Jin  |e author 
700 1 0 |a JIN, Qi  |e author 
700 1 0 |a TANG, Hong  |e author 
245 0 0 |a A new Graph To Represent Complex Plan Resolution Domain 
260 |b Institute of Advanced Engineering and Science,   |c 2013-01-10. 
520 |a Taking the botnet incident response plan decision-making as an example, we construct a new graph model to represent complex plan resolution domain by using action decomposition. In this model we introduced action layer, relation between subactions and decompose the complex incident response plan into many layers. This graphic model provides a powerful representing framework on the complex plan domain. By analyzing the decomposing method and the action node structure, we prove that the store space size of this graphic representation is not increased exponentially when the action node added. We present a quantitatively analyzing algorithm on the plan resolution domain. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1869 
540 |a Copyright (c) 2013 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 1: January 2013; 48-56 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v11.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1934/772 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/1934/772  |z Get fulltext