Introduce randomization for malicious nodes
Signed-off-by: Arunima Chaudhuri <arunimachaudhuri2020@gmail.com>
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Arunima Chaudhuri
parent
eb8588df9f
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f2a51eb8e1
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@ -71,13 +71,26 @@ class Simulator:
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assignedRows = []
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assignedCols = []
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maliciousNodesCount = int((self.shape.maliciousNodes / 100) * self.shape.numberNodes)
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remainingMaliciousNodes = maliciousNodesCount
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for i in range(self.shape.numberNodes):
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if i==0:
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if i == 0:
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amImalicious_value = 0
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elif i < maliciousNodesCount+1:
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amImalicious_value = 1
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else:
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amImalicious_value = 0
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if not self.config.randomizeMaliciousNodes:
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# Assign based on predefined pattern when randomization is turned off
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if i < maliciousNodesCount + 1:
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amImalicious_value = 1
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else:
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amImalicious_value = 0
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else:
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# Randomly assign amImalicious_value when randomization is turned on
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if remainingMaliciousNodes > 0 and random.random() < (self.shape.maliciousNodes / 100):
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amImalicious_value = 1
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remainingMaliciousNodes -= 1
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else:
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amImalicious_value = 0
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if self.config.evenLineDistribution:
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if i < int(lightVal/self.shape.vpn1): # First start with the light nodes
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start = i *self.shape.chi*self.shape.vpn1
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@ -12,7 +12,7 @@ def plotData(conf):
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else:
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xDes = conf["xdots"][-1] * 0.6
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props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
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plt.text(xDes, conf["yaxismax"]/4, conf["textBox"], fontsize=10, verticalalignment='top', bbox=props)
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plt.text(xDes, conf["yaxismax"]/3, conf["textBox"], fontsize=10, verticalalignment='top', bbox=props)
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if conf["type"] == "plot":
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for i in range(len(conf["data"])):
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plt.plot(conf["xdots"], conf["data"][i], conf["colors"][i], label=conf["labels"][i])
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@ -86,7 +86,7 @@ class Visualizor:
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
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conf["title"] = "Percentage of Samples Received by Nodes"
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conf["type"] = "individual_bar"
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conf["legLoc"] = 1
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@ -108,7 +108,7 @@ class Visualizor:
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
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conf["title"] = "Missing Samples"
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conf["type"] = "plot"
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conf["legLoc"] = 1
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@ -136,7 +136,7 @@ class Visualizor:
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
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conf["title"] = "Nodes/validators ready"
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conf["type"] = "plot"
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conf["legLoc"] = 2
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@ -168,7 +168,7 @@ class Visualizor:
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
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conf["title"] = "Sent data"
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conf["type"] = "plot"
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conf["legLoc"] = 2
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@ -198,7 +198,7 @@ class Visualizor:
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
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conf["title"] = "Received data"
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conf["type"] = "plot"
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conf["legLoc"] = 2
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@ -228,7 +228,7 @@ class Visualizor:
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
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conf["title"] = "Duplicated data"
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conf["type"] = "plot"
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conf["legLoc"] = 2
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@ -255,7 +255,7 @@ class Visualizor:
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
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conf["title"] = "Row/Column distribution"
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conf["type"] = "grouped_bar"
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conf["legLoc"] = 2
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@ -280,7 +280,7 @@ class Visualizor:
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
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conf["title"] = "Number of Messages Sent by Nodes"
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conf["type"] = "individual_bar"
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conf["legLoc"] = 1
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@ -300,7 +300,7 @@ class Visualizor:
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conf = {}
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text = str(result.shape).split("-")
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conf["textBox"] = "Block Size: "+text[1]+"\nNumber of nodes: "+text[3]\
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"
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+"\nFailure rate: "+text[7]+" \nNetwork degree: "+text[23]+"\nX: "+text[11]+" rows/columns"+"\nMalicious Nodes: "+text[27]+"%"
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conf["title"] = "Number of Messages Received by Nodes"
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conf["type"] = "individual_bar"
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conf["legLoc"] = 1
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@ -59,6 +59,10 @@ failureRates = [0]
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# Percentage of nodes that are considered malicious
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maliciousNodes = [95]
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# Parameter to determine whether to randomly assign malicious nodes or not
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# If True, the malicious nodes will be assigned randomly; if False, a predefined pattern may be used
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randomizeMaliciousNodes = True
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# Block size in one dimension in segments. Block is blockSizes * blockSizes segments.
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blockSizes = [128]
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