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Author: DonovanRoberts

databreachanalysistester.py

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+with open("C:/Users/DFRob/data_breach.txt", "r") as breaches:
+    #print(breaches.read(250))
+    lineList = breaches.readlines()
+
+print(lineList)
+
+#create a counter to keep track of how many data breaches per organization type
+#HealthCare, Financial, and Government records are found
+HealthCare = 0
+Financial = 0
+Government = 0
+
+
+#below we are determining which type of organiztion has had the most data breaches
+#for line in lineList[1:]:
+    #print(line)
+    #cleanLine = line.strip()
+    #breachesValues = cleanLine.split(',')
+    #print(breachesValues)
+    #if breachesValues[4] == "healthcare":
+        #HealthCare += 1
+    #elif breachesValues[4] == "financial":
+        #Financial += 1
+    #else:
+        #breachesValues[4] == "government"
+        #Government += 1
+#print("Health Care Organizations had", HealthCare, "data leaks,"
+      #"Financial Organizations had", Financial, "data leaks,"
+      #"Governmental Orginzations had", Government, "data leaks.")
+
+#Once we have ran the above code you will know which one has the most data breaches which should be Goverment Organizations
+# From there we will determine the most comomn method of data breachs in Government Organizations
+#create a counter to keep track of the occurence of methods per data breach
+Hacked= 0
+Poor_Security= 0
+Lost_Stolen_Media= 0
+Accidential_Publish= 0
+Inside_Job= 0
+ 
+
+#we will know set up code to ensure it is only analyzing government organizations by adding an and statement
+
+for line in lineList[1:]:
+    print(line)
+    cleanLine = line.strip()
+    breachesValues = cleanLine.split(',')
+    print(breachesValues)
+    if breachesValues[4] == "government":
+        if breachesValues[5] == "hacked":
+            Hacked += 1
+        if breachesValues[5] == "poor security":
+            Poor_Security += 1
+        if breachesValues[5] == "lost / stolen media":
+            Lost_Stolen_Media += 1
+        if breachesValues[5] == "accidentally published":
+            Accidential_Publish += 1
+    else:
+            if breachesValues[5] == "inside job":
+                Inside_Job += 1
+
+print("Goverment Organizations had", Hacked, "data leaks due to hacking", Poor_Security, "data leaks due to poor security",
+       Lost_Stolen_Media, "data leaks due to lost and stolen media, ", Accidential_Publish, "data leaks due to accidential publishing and,",
+       Inside_Job, "data leaks due to inside jobs.")
+
+with open("C:/Users/DFRob/data_breach.txt", "w") as report:
+    report.write(str(len(lineList)-1) + "total data breach cases reviewed")
+    report.write("\n Government Organizations had the most data breaches with a total of"+str(Government) +
+                 "\n Of all of methods of data breaching, inside jobs were the most common method with a total of"+str(Inside_Job))
+