Initial

analyze.py

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+import re
+from collections import defaultdict
+import matplotlib.pyplot as plt
+
+def parse_file(file_path):
+    with open(file_path, 'r') as file:
+        data = file.read()
+
+    pattern = re.compile(r'Source address: /(\d+\.\d+\.\d+\.\d+).*?Destination address: /(\d+\.\d+\.\d+\.\d+).*?Source port: (\d+).*?Destination port: (\d+)', re.DOTALL)
+    matches = pattern.findall(data)
+
+    return matches
+
+def count_occurrences(matches):
+    counts = defaultdict(int)
+    src_ip_counts = defaultdict(int)
+    dst_ip_counts = defaultdict(int)
+    src_port_counts = defaultdict(int)
+    dst_port_counts = defaultdict(int)
+
+    for src_ip, dst_ip, src_port, dst_port in matches:
+        counts[(src_ip, dst_ip, dst_port)] += 1
+        src_ip_counts[src_ip] += 1
+        dst_ip_counts[dst_ip] += 1
+        src_port_counts[src_port] += 1
+        dst_port_counts[dst_port] += 1
+
+    return counts, src_ip_counts, dst_ip_counts, src_port_counts, dst_port_counts
+
+def plot_data(counts):
+    src_ips = []
+    dst_ips = []
+    ports = []
+    occurrences = []
+
+    for (src_ip, dst_ip, port), count in counts.items():
+        src_ips.append(src_ip)
+        dst_ips.append(dst_ip)
+        ports.append(port)
+        occurrences.append(count)
+
+    fig, ax = plt.subplots(figsize=(10, 8))
+
+    bar_width = 0.35
+    index = range(len(src_ips))
+
+    bars = ax.bar(index, occurrences, bar_width, label='Occurrences')
+
+    ax.set_xlabel('IP and Port Combinations')
+    ax.set_ylabel('Occurrences')
+    ax.set_title('Occurrences of Source IPs, Destination IPs, and Ports')
+    ax.set_xticks(index)
+    ax.set_xticklabels([f'{src_ips[i]} -> {dst_ips[i]}:{ports[i]}' for i in range(len(src_ips))], rotation=90)
+    ax.legend()
+
+    plt.tight_layout()
+    plt.show()
+
+def plot_single_category(data, category_name):
+    items = list(data.keys())
+    occurrences = list(data.values())
+
+    fig, ax = plt.subplots(figsize=(10, 8))
+
+    bar_width = 0.35
+    index = range(len(items))
+
+    bars = ax.bar(index, occurrences, bar_width, label='Occurrences')
+
+    ax.set_xlabel(category_name)
+    ax.set_ylabel('Occurrences')
+    ax.set_title(f'Occurrences of {category_name}')
+    ax.set_xticks(index)
+    ax.set_xticklabels(items, rotation=90)
+    ax.legend()
+
+    plt.tight_layout()
+    plt.show()
+
+# File path to your text file
+file_path = 'sample.txt'
+
+matches = parse_file(file_path)
+counts, src_ip_counts, dst_ip_counts, src_port_counts, dst_port_counts = count_occurrences(matches)
+
+# Plot each category
+plot_data(counts)                      # Current graph with everything
+plot_single_category(dst_ip_counts, 'Destination IPs')
+plot_single_category(src_ip_counts, 'Source IPs')
+plot_single_category(dst_port_counts, 'Destination Ports')
+plot_single_category(src_port_counts, 'Source Ports')