The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Modeling C2 Networks as Dependencies: Understanding What the Real Issues Are
Abstract
This chapter describes an approach to modeling C2 and other types of networks as a series of nodes (people, groups, resources, locations, concepts, etc.). The nodes are linked by one or more weighted arcs describing the type and the strength of the dependency that one node has on another node. This model allows analysts to identify the most important nodes in a network in terms of their direct and indirect dependencies and to rank them accordingly. The same model also supports consequence analysis in which the direct, indirect, cascading, and cumulative effects of changes to node capabilities can be propagated across the networks. The chapter describes the basic modeling technique and two types of dependency propagation that it supports. These are illustrated with two examples involving the modeling and reasoning across insurgent networks and an Integrated Air Defense System. These show how aspects of the networks can be analyzed and targeted. Details are also provided on the mechanisms to link the analysis to a planning system through which plans can be developed to bring about desired effect(s) in the networks.
Related Content
|
S. Vijay Anand, Sathis Kumar B..
© 2023.
12 pages.
|
|
Sudarson Rama Perumal, Muthumanikandan V., Sushmitha J..
© 2023.
30 pages.
|
|
Sipra Swain, Biswa Ranjan Senapati, Pabitra Mohan Khilar.
© 2023.
31 pages.
|
|
Uma Mageswari R., Nallarasu Krishnan, Mohammed Sirajudeen Yoosuf, Murugan K., Sankar Ram C..
© 2023.
20 pages.
|
|
Divya L., Pradeep Kumar T. S..
© 2023.
15 pages.
|
|
Pradeep Kumar T. S., Vetrivelan P..
© 2023.
15 pages.
|
|
Vanitha Veerasamy, Rajathi Natarajan.
© 2023.
16 pages.
|
|
|