inter arrival time data

1 files changed, 0 insertions, 53 deletions

diff --git a/code/perpacket/parser.py b/code/perpacket/parser.py
deleted file mode 100644
index 37e7a8a..0000000
--- a/code/perpacket/parser.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import csv
-import numpy as np
-import matplotlib.pyplot as plt
-
-with open('packetdata.csv', mode='r') as csv_file:
-    csv_reader = csv.DictReader(csv_file)
-    line_count = 0
-    flowsTCP = []
-    flowsUDP = []
-    for row in csv_reader:
-        if row["Protocol"] == 'TCP':
-            flowExists = False
-            src = row["Source"]
-            dest = row["Destination"]
-            srcPort = row["Info"].split(' > ')[0].split(' ')[0]
-            destPort = row["Info"].split(' > ')[1].split(' ')[1]
-            timeElapsed = float(row["Time delta from previous captured frame"])
-            for flow in flowsTCP:
-                if src in flow and dest in flow and srcPort in flow and destPort in flow:
-                    flowExists = True
-                    flow[4] += timeElapsed
-                    flow[5] += 1
-                    break
-            if not flowExists:
-                flowsTCP.append([src, dest, srcPort, destPort, timeElapsed, 1])
-        # if row["Protocol"] == 'UDP':
-        #     flowExists = False
-        #     src = row["Source"]
-        #     dest = row["Destination"]
-        #     srcPort = row["Info"].split(' > ')[0].split(' ')[0]
-        #     destPort = row["Info"].split(' > ')[1].split(' ')[1]
-        #     for flow in flowsUDP:
-        #         if src in flow and dest in flow and srcPort in flow and destPort in flow:
-        #             flowExists = True
-        #             break
-        #     if not flowExists:
-        #         flowsUDP.append([src, dest, srcPort, destPort])
-    flowsTCPTimeAverages  = []    
-    for flow in flowsTCP:
-        flowsTCPTimeAverages.append(flow[4] / flow[5])
-    with open('tcp_arrivel_time.csv', mode='w', newline='') as tcpArrival:
-        fieldnames = ['time']
-        writer = csv.DictWriter(tcpArrival, fieldnames=fieldnames)
-        writer.writeheader()
-        for flow in flowsTCPTimeAverages:
-            writer.writerow({'time': flow})
-    # num_bins = 20
-    # counts, bin_edges = np.histogram (flowsTCPTimeAverages, bins=num_bins, normed=True)
-    # cdf = np.cumsum (counts)
-    # plt.plot (bin_edges[1:], cdf/cdf[-1])
-    # plt.show()
-    # print(flowsTCPTimeAverages)
-    # print('UDP Length ' + str(len(flowsUDP)))