Modeling C2 Networks as Dependencies

Author(s):  
B. Drabble

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.

Author(s):  
John T. Rowell ◽  
Eugene R. Streich

This article describes the development and implementation of a program to train a large-scale, semi-automatic data processing system known as SAGE (Semi-Automatic Ground Environment). Particular attention is given to describing the the air defense system, the methodology used to satisfy the training requirements, the conduct of the training program in operational settings, and results of various studies of training effectiveness. Of significance was the emergence of a unique conceptual formulation of system training principles and of associated simulation techniques.


SIMULATION ◽  
1996 ◽  
Vol 66 (1) ◽  
pp. 5-21 ◽  
Author(s):  
B.T. Barcio ◽  
S. Ramaswamy ◽  
R. Macfadzean ◽  
K.S. Barber

2020 ◽  
pp. 1-10
Author(s):  
Eugeniusz CIEŚLAK

The article discusses operational context for the development of Poland's air defense system. The assessment focuses on air defense operations in high intensity conflict. Recommendations include setting a realistic level of ambition in the field of air defense and increasing operational capabilities through modernization of its combat assets. The priority proposed for Poland’s air defense system is to introduce a new generation of short range surface to air missile systems and then to develop medium range air and missile defense capabilities.


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Fazle Rabby Khan ◽  
Md. Muhabullah ◽  
Roksana Islam ◽  
Mohammad Monirujjaman Khan ◽  
Mehedi Masud ◽  
...  

In a country, air defense systems are designed to reduce threats efficiently. An air defense system is a fundamental part of any country because it provides national security. This study presents an autonomous air defense system (AADS) development that will automatically detect aerial threats (e.g., drones) and target them without any human intervention. The AADS is implemented using radar, camera, and laser gun. The radar system dynamically emits microwaves and detects moving objects around it. It triggers the camera system if it senses the frequency of any aerial threat. The camera receives the radar’s signal and detects using a neural network algorithm whether it is a threat or not. Neural network algorithms are used for the detection and classification of objects. The laser gun locks its target if the live video feed classifies an object as a more than 75% threat. In the detection stage, an average loss of 0.184961 was achieved using YOLOv3 and 0.155 using the Faster-RCNN. This system will ensure that no human errors are made while detecting threats in a region and improve national safety.


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