SIMULATIONS: Archived CIP Simulations, Tools and Software
[2009-10-07 12:42:20] Simulated termites picking up wood chips. This shows how networks are formed. Initially the termites create a random network. Over time it evolves into a cluster network, and finally a scale-free network. Concepts: emergence and self-organization. [2009-10-07 09:42:20] Simulation of cascade failures in networks, illustrating the relationship between consequence and vulnerability in networks. Cascade failures obey an exceedence probability that is a power law for small vulnerability. [2009-10-07 09:42:20] Simulation of flow failures in networks. Illustrating the relationship between consequence and different attack strategies on nodes in a network. Flow resiliency is highest in clustered networks; lowest in scale-free networks. [2009-10-07 09:42:20] Simulation of attacker and defender strategies in random, clustered, and scale-free networks. Shows that network hubs and betweener nodes are the most important in terms of both attacker and defender strategies. [2009-04-14 09:14:05] NA (Network Analysis) is a tool that models networks of critical infrastructure as nodes and links. NA is then able to help the analyst identify critical nodes in a network by applying a budget to the entire system. By providing the consequence values for each node and link that would be incurred if that asset was damaged, NA uses the connectivity of the network to determine criticality. [2009-04-14 09:10:39] FT++ (Fault Tree) is an analysis tool that models the potential faults in a system or collection of subsystems in terms of their threats, vulnerabilities, and associated consequences if disabled. A fault tree will help the analyst determine which series of single or combination events could result in overall system failure. It contains several budget allocation strategies that will specify how resources should be allocated to optimize the hardening of the system. [2007-02-05 09:38:18]
This simulation tool illustrates the law of increasing returns based upon an organizing principle that short links are preferred over longer links. This program is described in Chapter 4 of Ted Lewis' book, Critical Infrastructure Protection, Defending a Networked Nation. [2007-02-05 09:36:34]
This simulation tool illustrates the law of increasing returns (also known as preferential selection), and the power law. This program is described in Chapter 4 of Ted Lewis' book, Critical Infrastructure Protection, Defending a Networked Nation.
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[These simulations have been replaced by newer tools.] The Critical Infrastructure Protection simulation software (both web [html] and desktop [jar] versions), created by Dr. Ted Lewis, incorporates network theory and optimization theory to help analyze and understand how infrastructure sectors evolve, where they are vulnerable, and how they can best be protected. For example, in the FT+ simulation, the user constructs a fault tree containing sector components and threats, along with the estimated total budget, vulnerability, cost to eliminate vulnerability, and consequence (damage) value for each threat. Then, the user may select one of four strategies to compute the best way to allocate the budget to reduce vulnerability and/or risk. In the Network Analysis simulation, the user takes a network model of an infrastructure system along with a budget and estimates damage values as inputs and produces an optimal allocation of the budget to nodes and links such that risk is minimized. Thirteen different simulations are available and are routinely updated. Download the desktop versions to your computer and run them locally, or run the web versions right from the web.
Termites [download]
Shortest Link [play]