LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Guo, Weisi; Lu, X.
Publisher: IET
Languages: English
Types: Article
Subjects: TK, U1
Modelling enemy networks in a way that reveals their key entities and links is important when disrupting complex networks with high redundancy. In this paper, we examine how best to attack such networks under a limited ground intelligence constraint. The key modelling contribution is to include both the heterogeneity of the node functions and the dynamics of recuperation after destruction. Through identifying the core nodes, the results show that ground intelligence should focus on locating and attacking high degree nodes, yielding a 41% reduction in conflict length over random opportunistic targeting and a 23% reduction over specialist targeting. Even when difficult to replace specialists are considered, targeting high degree nodes that can recuperate quickly, remains the most effective method of attack. The impact is to allow military forces to more effectively target enemy nodes that will cause functional paralysis and create further collapses.

Share - Bookmark

Cite this article