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answerQuestion3.py
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answerQuestion3.py
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import simulateVirusSpread as sim
import displayVirusSpread as disp
import viruses
import Network as n
import fileMaker
import numpy as N
import matplotlib.pyplot as plt
networkSize = 50
n_runs = 100
nodeStrengthRange = (0,.6)
def runSimulation(theNetwork, startingPoint, virus):
if virus == "LB":
virus = viruses.LogicBomb()
if virus == "W":
virus = viruses.Worm((0,.1))
else:
virus = viruses.Trojan()
sim.runOnce(theNetwork, startingPoint, virus, False)
infectedCount = 0
for node in theNetwork.infectedList[1:]:
if node == n.State.infected:
infectedCount+= 1
infectedPercent = (infectedCount / networkSize) * 100
return infectedPercent
fileMaker.tree(networkSize)
infectedPercentRootTreeWorm = []
infectedPercentMiddleTreeWorm = []
infectedPercentLeafTreeWorm = []
infectedPercentRootTreeLogicBomb = []
infectedPercentMiddleTreeLogicBomb = []
infectedPercentLeafTreeLogicBomb = []
infectedPercentRootTreeTrojan = []
infectedPercentMiddleTreeTrojan = []
infectedPercentLeafTreeTrojan = []
for x in range(n_runs):
print(x)
theNetwork = n.Network(disp.graphType.TREE)
theNetwork.createnetwork("tree.txt", nodeStrengthRange)
infectedPercentRootTreeWorm.append(runSimulation(theNetwork, 1, "W"))
theNetwork = n.Network(disp.graphType.TREE)
theNetwork.createnetwork("tree.txt", nodeStrengthRange)
infectedPercentMiddleTreeWorm.append(runSimulation(theNetwork, int(networkSize/2), "W"))
theNetwork = n.Network(disp.graphType.TREE)
theNetwork.createnetwork("tree.txt", nodeStrengthRange)
infectedPercentLeafTreeWorm.append(runSimulation(theNetwork, networkSize, "W"))
virus = viruses.LogicBomb()
for x in range(n_runs):
print(x)
theNetwork = n.Network(disp.graphType.TREE)
theNetwork.createnetwork("tree.txt", nodeStrengthRange)
infectedPercentRootTreeLogicBomb.append(runSimulation(theNetwork, 1, "LB"))
theNetwork = n.Network(disp.graphType.TREE)
theNetwork.createnetwork("tree.txt", nodeStrengthRange)
infectedPercentMiddleTreeLogicBomb.append(runSimulation(theNetwork, int(networkSize/2), "LB"))
theNetwork = n.Network(disp.graphType.TREE)
theNetwork.createnetwork("tree.txt", nodeStrengthRange)
infectedPercentLeafTreeLogicBomb.append(runSimulation(theNetwork, networkSize, "LB"))
virus = viruses.Trojan()
for x in range(n_runs):
print(x)
theNetwork = n.Network(disp.graphType.TREE)
theNetwork.createnetwork("tree.txt", nodeStrengthRange)
infectedPercentRootTreeTrojan.append(runSimulation(theNetwork, 1, "T"))
theNetwork = n.Network(disp.graphType.TREE)
theNetwork.createnetwork("tree.txt", nodeStrengthRange)
infectedPercentMiddleTreeTrojan.append(runSimulation(theNetwork, int(networkSize/2), "T"))
theNetwork = n.Network(disp.graphType.TREE)
theNetwork.createnetwork("tree.txt", nodeStrengthRange)
infectedPercentLeafTreeTrojan.append(runSimulation(theNetwork, networkSize, "T"))
infectedPercentRootTreeWorm = N.array(infectedPercentRootTreeWorm)
infectedPercentMiddleTreeWorm = N.array(infectedPercentMiddleTreeWorm)
infectedPercentLeafTreeWorm = N.array(infectedPercentLeafTreeWorm)
infectedPercentRootTreeLogicBomb = N.array(infectedPercentRootTreeLogicBomb)
infectedPercentMiddleTreeLogicBomb = N.array(infectedPercentMiddleTreeLogicBomb)
infectedPercentLeafTreeLogicBomb = N.array(infectedPercentLeafTreeLogicBomb)
infectedPercentRootTreeTrojan = N.array(infectedPercentRootTreeTrojan)
infectedPercentMiddleTreeTrojan = N.array(infectedPercentMiddleTreeTrojan)
infectedPercentLeafTreeTrojan = N.array(infectedPercentLeafTreeTrojan)
meansWorm = [N.mean(infectedPercentRootTreeWorm),N.mean(infectedPercentMiddleTreeWorm), N.mean(infectedPercentLeafTreeWorm)]
meansLB = [N.mean(infectedPercentRootTreeLogicBomb),N.mean(infectedPercentMiddleTreeLogicBomb), N.mean(infectedPercentLeafTreeLogicBomb)]
meansTrojan = [N.mean(infectedPercentRootTreeTrojan),N.mean(infectedPercentMiddleTreeTrojan), N.mean(infectedPercentLeafTreeTrojan)]
print(meansWorm)
bar_width = 0.125
bar_locations = N.array([1,1.5,2])
fig, ax = plt.subplots()
plt.bar(bar_locations,
meansWorm, bar_width,
alpha=.4,
color='r',
label='Worm')
plt.bar(bar_locations + bar_width,
meansLB,
bar_width,
alpha=.4,
color='g',
label='Logic Bomb')
plt.bar(bar_locations + (bar_width*2),
meansTrojan,
bar_width,
alpha=.4,
color='b',
label='Trojan')
plt.xticks(bar_locations+bar_width, ('Root', 'Middle','Leaf'))
plt.ylabel('percentage infected')
plt.xlabel('Infection location')
plt.title('Tree infection rate vs. initial infection location')
plt.legend()
plt.show()
fig.savefig('tree-start-locations.png')