DocumentCode :
3740402
Title :
Self Regulating Immunization Strategy for High Clustering Networks
Author :
Alfredo Milani;Valentina Poggioni;Riccardo Queri
Author_Institution :
Dipt. Mat. e Inf., Univ. of Perugia, Perugia, Italy
Volume :
2
fYear :
2015
Firstpage :
25
Lastpage :
28
Abstract :
In this paper, we propose a new network immunization strategy for high clustering networks based on distributed autonomous entities which self-regulate their diffusion in the network. The advantage of a Self Regulating approach is that it can be applied to decentralized, unknown and dynamic networks. This strategy has been tested on several widely accepted benchmarks, and preliminary results are presented and discussed.
Keywords :
"Immune system","Network topology","Topology","Clustering algorithms","Estimation","Electronic mail","Benchmark testing"
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2015 IEEE / WIC / ACM International Conference on
Type :
conf
DOI :
10.1109/WI-IAT.2015.180
Filename :
7397310
Link To Document :
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