A Dynamic Selection Algorithm on Optimal Auto-Response for Network Survivability

In the selection process of survival strategies, it is a challenging work to automatically choose the optimal measure for the survival event. A dynamic selection algorithm is proposed, based on feedback control. According to the feature of survival strategy, the strategy model is presented, which in...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhao, Jinhui (Author), Sun, Yujia (Author), Shuo, Liangxun (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2014-08-01.
Subjects:
Online Access:Get fulltext
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 01990 am a22003133u 4500
001 ijeecs3759_2074
042 |a dc 
100 1 0 |a Zhao, Jinhui  |e author 
100 1 0 |e contributor 
700 1 0 |a Sun, Yujia  |e author 
700 1 0 |a Shuo, Liangxun  |e author 
245 0 0 |a A Dynamic Selection Algorithm on Optimal Auto-Response for Network Survivability 
260 |b Institute of Advanced Engineering and Science,   |c 2014-08-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3759 
520 |a In the selection process of survival strategies, it is a challenging work to automatically choose the optimal measure for the survival event. A dynamic selection algorithm is proposed, based on feedback control. According to the feature of survival strategy, the strategy model is presented, which includes fuor specific attribute. The dynamic update process of attribute vector is described in detail. Combining the weight of preference and attributes of strategy, the TOPSIS evaluation is employed to select optimal measure. Experiments and analysis show that optimal measure selected by proposed algorithm is appropriate and wishful, which enriches the research content in this field. 
540 |a Copyright (c) 2014 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a Network security 
690 |a Network Survivability; Dynamic Update; Active Response; TOPSIS Evaluation 
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 12, No 8: August 2014; 6354-6360 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i8 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3759/2074 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3759/2074  |z Get fulltext