Upload Project TFM
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109
create_models.py
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109
create_models.py
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##Impor export model
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import joblib
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##Algs
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from sklearn.svm import SVC
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from sklearn.tree import DecisionTreeClassifier
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from sklearn.neural_network import MLPClassifier
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##Metrics
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from sklearn.metrics import accuracy_score,confusion_matrix
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##Preprocessing
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from sklearn.preprocessing import StandardScaler
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##Data
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import pandas as pd
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from tabulate import tabulate
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def save_model(model,name):
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joblib.dump(model, name)
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def data_load():
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head_names=["src_ip","received_bytes","send_bytes","port_duration","total_duration","jitter","response_icmp","differents_port","value"]
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df = pd.read_csv('dataset_final.csv', delimiter=',', header=None) ##train
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df_test = pd.read_csv('dataset_test_final.csv', delimiter=',', header=None) ##test
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df[8] = 0
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df_test[8] = 0
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df.columns = head_names
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df_test.columns = head_names
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for index,row in df.iterrows():
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if row['src_ip'] == '192.168.20.3':
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df.at[index, 'value'] = 1
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for index,row in df_test.iterrows():
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if row['src_ip'] == '192.168.20.3':
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df_test.at[index, 'value'] = 1
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df.pop('src_ip')
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df.pop('response_icmp')
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y_train = df.pop('value')
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x_train = df
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df_test.pop('src_ip')
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df_test.pop('response_icmp')
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y_test = df_test.pop('value')
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x_test = df_test
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return x_train, y_train, x_test, y_test
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def print_results(y_test,y_pred):
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accuracy = accuracy_score(y_test, y_pred)
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print(f"Acc del modelo: {accuracy}")
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TN, FP, FN, TP = confusion_matrix(y_test, y_pred).ravel()
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print("Confusion Matrix:")
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data_table = [[TP, FN],
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[FP, TN]]
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table = tabulate(data_table, tablefmt="grid")
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print(table)
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print("Metrics:")
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TPR = TP / (TP + FN)
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FAR = FP / (FP + TN)
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Prec = TP / (TP+ FP)
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print("TPR: " + str(TPR))
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print("FAR: " + str(FAR))
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print("Prec: " + str(Prec))
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def dt(x_train, y_train, x_test, y_test):
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class_weights = {1: 0.5, 0: 3.5}
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dt = DecisionTreeClassifier(max_depth=8, min_samples_leaf=13, min_samples_split=6, class_weight=class_weights)
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dt.fit(x_train, y_train)
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y_pred = dt.predict(x_test)
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print_results(y_test,y_pred)
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save_model(dt,'DT.pkl')
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def mlp(x_train, y_train, x_test, y_test):
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mlp = MLPClassifier(hidden_layer_sizes=(128, 64), max_iter=100, activation= 'tanh', solver= 'adam', learning_rate_init=0.0003)
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mlp.fit(x_train, y_train)
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y_pred = mlp.predict(x_test)
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print_results(y_test,y_pred)
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save_model(mlp,'MLP.pkl')
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def svc(x_train, y_train, x_test, y_test):
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x_train = StandardScaler().fit_transform(x_train)
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x_test = StandardScaler().fit_transform(x_test)
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svc = SVC(kernel='linear')
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svc.fit(x_train, y_train)
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y_pred = svc.predict(x_test)
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print_results(y_test,y_pred)
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save_model(svc,'SVC.pkl')
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if __name__ == '__main__':
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modelo = input("Please, enter model (DT,MLP,SVC): ")
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if modelo == 'DT' or modelo == 'MLP' or modelo == 'SVC':
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x_train, y_train, x_test, y_test = data_load()
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if modelo == 'DT':
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dt(x_train, y_train, x_test, y_test)
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elif modelo == 'MLP':
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mlp(x_train, y_train, x_test, y_test)
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else:
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svc(x_train, y_train, x_test, y_test)
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else:
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print("Modelo no valido")
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130602
dataset_final.csv
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130602
dataset_final.csv
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File diff suppressed because it is too large
Load Diff
54109
dataset_test_final.csv
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54109
dataset_test_final.csv
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File diff suppressed because it is too large
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196
live.py
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196
live.py
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from scapy.all import sniff, IP, UDP, ICMP, DNS, scapy
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import time
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import cachetools
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import multiprocessing
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import sys
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import re
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import tornado.httpclient
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port_server=8888
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ip_addres_server='127.0.0.1'
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def check_data(line,ip_ori,blackList,ttlCache_blacklist):
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http_client = tornado.httpclient.HTTPClient()
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line = line + "||" + ip_ori
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try:
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if ip_ori not in blackList:
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response = http_client.fetch(
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f"http://{ip_addres_server}:{port_server}/check",
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method="POST",
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body=line,
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headers={"Content-Type": "text/plain"},
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)
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predict = response.body.decode("utf-8")
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if round(int(predict)) == 1:
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unix_time = time.time()
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blackList[ip_ori] = unix_time + ttlCache_blacklist
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except Exception as e:
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pass
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finally:
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http_client.close()
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def waitresponsefunction(wait4response,lock,blackList,ttlCache_blacklist):
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while 1:
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lock.acquire()
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to_remove = []
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if wait4response:
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for key in wait4response.keys():
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unix_time = time.time()
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value = wait4response[key]
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if float(value['expire']) < unix_time:
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ip_ori = key.split("||")[0]
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check_data(value['line'],ip_ori,blackList,ttlCache_blacklist)
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to_remove.append(key)
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break
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for key in to_remove:
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wait4response.pop(key)
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to_remove = []
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if blackList:
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for key in blackList.keys():
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unix_time = time.time()
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value = blackList[key]
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if float(value) < unix_time:
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to_remove.append(key)
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break
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for key in to_remove:
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blackList.pop(key)
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lock.release()
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def process_packet(stateTable,wait4response,lock,maxWaitResponse,ip_addres_dst,blackList,ttlCache_blacklist,packet):
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if IP in packet and DNS not in packet:
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ip_pkt = packet[IP]
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ip_id = ip_pkt.id
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packet_size = len(packet)
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current_time = packet.time
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if UDP in packet and len(packet.layers()) >= 4 and str(ip_pkt.dst) == ip_addres_dst:
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udp_pkt = packet[UDP]
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src_port = udp_pkt.sport
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dest_port = udp_pkt.dport
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name = str(ip_pkt.src) + '||' + str(src_port) + '||' + str(ip_pkt.dst) + '||' + 'UDP'
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name2waiting = str(ip_pkt.src) + '||' + str(src_port) + '||' + str(ip_pkt.dst) + '||' + str(dest_port) + '||' + 'UDP' + '||' + str(ip_id)
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if name in stateTable:
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valor = stateTable.pop(name)
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stateTable[name] = valor
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unix_time = time.time()
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##State of last package udp from that IP
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last_time_pkg = stateTable[name]['last']
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last_port = stateTable[name]['last_port']
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first_connection = stateTable[name]['first_connection']
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first_connection_total = stateTable[name]['first_connection_total']
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##Calculate values of current package
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multiple_ports = 1 if last_port != dest_port else 0
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duration = str(current_time-first_connection) if last_port != dest_port else str(0)
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##update value of connection
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first_connection_aux = current_time if last_port != dest_port else first_connection
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stateTable[name]['first_connection'] = first_connection_aux
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stateTable[name]['last'] = current_time
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stateTable[name]['last_port'] = dest_port
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##Add to waiting
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line_to_csv = str(packet_size) + ',0,' + duration + ',' + str(current_time-first_connection_total) + ',' + str(current_time-last_time_pkg) + ',' + str(multiple_ports)
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wait4response[name2waiting] = {'line': line_to_csv, 'expire': unix_time + maxWaitResponse}
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else:
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unix_time = time.time()
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stateTable[name] = {'last':current_time, 'last_port':dest_port, 'first_connection' : current_time, 'first_connection_total' : current_time }
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line_to_csv = str(packet_size) + ',0,0,0,0,0'
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wait4response[name2waiting] = {'line': line_to_csv, 'expire': unix_time + maxWaitResponse}
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if ICMP in packet:
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icmp_pkt = packet[ICMP]
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icmp_type = icmp_pkt.type
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icmp_code = icmp_pkt.code
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if icmp_code == 3 and icmp_type == 3:
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if 'IP in ICMP' in icmp_pkt:
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src_ip = icmp_pkt['IP in ICMP'].src
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dest_ip = icmp_pkt['IP in ICMP'].dst
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inside_id_ip = icmp_pkt['IP in ICMP'].id
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if 'UDP in ICMP' in icmp_pkt and str(dest_ip) == ip_addres_dst:
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src_port = icmp_pkt['UDP in ICMP'].sport
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dest_port = icmp_pkt['UDP in ICMP'].dport
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name2waiting = str(src_ip) + '||' + str(src_port) + '||' + str(dest_ip) + '||' + str(dest_port) + '||' + 'UDP' + '||' + str(inside_id_ip)
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lock.acquire()
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if name2waiting in wait4response:
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auxLine = wait4response[name2waiting]['line']
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auxSplit = auxLine.split(",")
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auxSplit[1] = str(packet_size)
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auxFinal = ','.join(auxSplit)
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check_data(auxFinal,src_ip,blackList,ttlCache_blacklist)
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wait4response.pop(name2waiting)
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lock.release()
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p_ipv4 = r'^(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)$'
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def is_double(string):
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try:
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float(string)
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return True
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except ValueError:
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return False
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def main():
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arguments = sys.argv
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maxSizeCache = 0
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ttlCache = 0
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maxWaitResponse = 0
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ip_addres_dst = ''
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ttlCache_blacklist= 0
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if len(arguments)==6 and arguments[1].isdigit() and arguments[2].isdigit() and is_double(arguments[3]):
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maxSizeCache = int(arguments[1])
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ttlCache = int(arguments[2])
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ttlCache_blacklist = int(arguments[3])
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maxWaitResponse = float(arguments[4])
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if re.match(p_ipv4,arguments[5]):
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ip_addres_dst = arguments[5]
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else:
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print("Invalid IP")
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sys.exit()
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else:
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print('Invalid arguments')
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sys.exit()
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stateTable = cachetools.TTLCache(maxsize=maxSizeCache, ttl=ttlCache)
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admin = multiprocessing.Manager()
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lock = multiprocessing.Lock()
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wait4response = admin.dict({})
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blackList = admin.dict({})
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process = multiprocessing.Process(target=waitresponsefunction, args=(wait4response,lock,blackList,ttlCache_blacklist))
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process.start()
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sniff(filter="udp or icmp", prn=lambda packet: process_packet(stateTable,wait4response,lock,maxWaitResponse,ip_addres_dst,blackList,ttlCache_blacklist,packet))
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if __name__ == '__main__':
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main()
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BIN
models/DT.pkl
Normal file
BIN
models/DT.pkl
Normal file
Binary file not shown.
BIN
models/MLP.pkl
Normal file
BIN
models/MLP.pkl
Normal file
Binary file not shown.
BIN
models/SVC.pkl
Normal file
BIN
models/SVC.pkl
Normal file
Binary file not shown.
169
sniffer.py
Executable file
169
sniffer.py
Executable file
@ -0,0 +1,169 @@
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### Escanear todo
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### nmap -sU -p- -Pn 192.168.10.2
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### Un unico puertos o intervalos
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### nmap -sU -p 80 -T4 -Pn 192.168.10.2
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### Con intervalor de envio
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### nmap -sU -p 80-85 -T4 -Pn --scan-delay 3 192.168.10.2
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### Puertos mas comunes
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### nmap -sU -p 80-85 -Pn -F 192.168.10.2
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### Tamaño payload
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### nmap -sU -p 80-85 -Pn --data-length 64 192.168.10.2
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from scapy.all import sniff, IP, UDP, ICMP, scapy
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import time
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import cachetools
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import multiprocessing
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import sys
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import re
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def waitresponsefunction(wait4response, lock):
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while 1:
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lock.acquire()
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to_remove = []
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if wait4response:
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for key in wait4response.keys():
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unix_time = time.time()
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value = wait4response[key]
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if float(value['expire']) < unix_time:
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print(len(wait4response))
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ip_ori = key.split("||")[0]
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file_name = "dataset_test.txt"
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with open(file_name, "a") as file:
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file.write(ip_ori + ',' + value['line'] + "\n")
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#wait4response.pop(key)
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to_remove.append(key)
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break
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for key in to_remove:
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wait4response.pop(key)
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lock.release()
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||||||
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def process_packet(stateTable,wait4response,lock,maxWaitResponse,ip_addres_dst,packet):
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||||||
|
|
||||||
|
|
||||||
|
if IP in packet:
|
||||||
|
ip_pkt = packet[IP]
|
||||||
|
ip_id = ip_pkt.id
|
||||||
|
packet_size = len(packet)
|
||||||
|
current_time = packet.time
|
||||||
|
|
||||||
|
|
||||||
|
if UDP in packet and len(packet.layers()) >= 4 and str(ip_pkt.dst) == ip_addres_dst:
|
||||||
|
udp_pkt = packet[UDP]
|
||||||
|
src_port = udp_pkt.sport
|
||||||
|
dest_port = udp_pkt.dport
|
||||||
|
name = str(ip_pkt.src) + '||' + str(src_port) + '||' + str(ip_pkt.dst) + '||' + 'UDP'
|
||||||
|
name2waiting = str(ip_pkt.src) + '||' + str(src_port) + '||' + str(ip_pkt.dst) + '||' + str(dest_port) + '||' + 'UDP' + '||' + str(ip_id)
|
||||||
|
|
||||||
|
if name in stateTable:
|
||||||
|
|
||||||
|
##Increase of connection ##Lock????
|
||||||
|
valor = stateTable.pop(name)
|
||||||
|
stateTable[name] = valor
|
||||||
|
|
||||||
|
|
||||||
|
unix_time = time.time()
|
||||||
|
##State of last package udp from that IP
|
||||||
|
last_time_pkg = stateTable[name]['last']
|
||||||
|
last_port = stateTable[name]['last_port']
|
||||||
|
first_connection = stateTable[name]['first_connection']
|
||||||
|
first_connection_total = stateTable[name]['first_connection_total']
|
||||||
|
##Calculate values of current package
|
||||||
|
multiple_ports = 1 if last_port != dest_port else 0
|
||||||
|
duration = str(current_time-first_connection) if last_port != dest_port else str(0)
|
||||||
|
|
||||||
|
##update value of connection
|
||||||
|
first_connection_aux = current_time if last_port != dest_port else first_connection
|
||||||
|
stateTable[name]['first_connection'] = first_connection_aux
|
||||||
|
stateTable[name]['last'] = current_time
|
||||||
|
stateTable[name]['last_port'] = dest_port
|
||||||
|
##Add to waiting
|
||||||
|
line_to_csv = str(packet_size) + ',0,' + duration + ',' + str(current_time-first_connection_total) + ',' + str(current_time-last_time_pkg) + ',0,' + str(multiple_ports)
|
||||||
|
wait4response[name2waiting] = {'line': line_to_csv, 'expire': unix_time + maxWaitResponse}
|
||||||
|
|
||||||
|
|
||||||
|
else:
|
||||||
|
|
||||||
|
unix_time = time.time()
|
||||||
|
stateTable[name] = {'last':current_time, 'last_port':dest_port, 'first_connection' : current_time, 'first_connection_total' : current_time }
|
||||||
|
|
||||||
|
line_to_csv = str(packet_size) + ',0,0,0,0,0,0'
|
||||||
|
wait4response[name2waiting] = {'line': line_to_csv, 'expire': unix_time + maxWaitResponse}
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
if ICMP in packet:
|
||||||
|
icmp_pkt = packet[ICMP]
|
||||||
|
icmp_type = icmp_pkt.type
|
||||||
|
icmp_code = icmp_pkt.code
|
||||||
|
if icmp_code == 3 and icmp_type == 3:
|
||||||
|
if 'IP in ICMP' in icmp_pkt:
|
||||||
|
src_ip = icmp_pkt['IP in ICMP'].src
|
||||||
|
dest_ip = icmp_pkt['IP in ICMP'].dst
|
||||||
|
inside_id_ip = icmp_pkt['IP in ICMP'].id
|
||||||
|
if 'UDP in ICMP' in icmp_pkt and str(dest_ip) == ip_addres_dst:
|
||||||
|
src_port = icmp_pkt['UDP in ICMP'].sport
|
||||||
|
dest_port = icmp_pkt['UDP in ICMP'].dport
|
||||||
|
name2waiting = str(src_ip) + '||' + str(src_port) + '||' + str(dest_ip) + '||' + str(dest_port) + '||' + 'UDP' + '||' + str(inside_id_ip)
|
||||||
|
lock.acquire()
|
||||||
|
if name2waiting in wait4response:
|
||||||
|
auxLine = wait4response[name2waiting]['line']
|
||||||
|
auxSplit = auxLine.split(",")
|
||||||
|
auxSplit[1] = str(packet_size)
|
||||||
|
auxSplit[5] = str(1)
|
||||||
|
auxFinal = ','.join(auxSplit)
|
||||||
|
file_name = "dataset_test.txt"
|
||||||
|
with open(file_name, "a") as file:
|
||||||
|
file.write(str(src_ip) + ',' + auxFinal + "\n")
|
||||||
|
wait4response.pop(name2waiting)
|
||||||
|
lock.release()
|
||||||
|
|
||||||
|
|
||||||
|
p_ipv4 = r'^(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)$'
|
||||||
|
|
||||||
|
|
||||||
|
def is_double(string):
|
||||||
|
try:
|
||||||
|
float(string)
|
||||||
|
return True
|
||||||
|
except ValueError:
|
||||||
|
return False
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
|
||||||
|
arguments = sys.argv
|
||||||
|
maxSizeCache = 0
|
||||||
|
ttlCache = 0
|
||||||
|
maxWaitResponse = 0
|
||||||
|
ip_addres_dst = ''
|
||||||
|
|
||||||
|
|
||||||
|
if len(arguments)==5 and arguments[1].isdigit() and arguments[2].isdigit() and is_double(arguments[3]):
|
||||||
|
maxSizeCache = int(arguments[1])
|
||||||
|
ttlCache = int(arguments[2])
|
||||||
|
maxWaitResponse = float(arguments[3])
|
||||||
|
if re.match(p_ipv4,arguments[4]):
|
||||||
|
ip_addres_dst = arguments[4]
|
||||||
|
else:
|
||||||
|
print("Invalid IP")
|
||||||
|
sys.exit()
|
||||||
|
else:
|
||||||
|
print('Invalid arguments')
|
||||||
|
sys.exit()
|
||||||
|
|
||||||
|
|
||||||
|
stateTable = cachetools.TTLCache(maxsize=maxSizeCache, ttl=ttlCache)
|
||||||
|
admin = multiprocessing.Manager()
|
||||||
|
lock = multiprocessing.Lock()
|
||||||
|
wait4response = admin.dict({})
|
||||||
|
|
||||||
|
process = multiprocessing.Process(target=waitresponsefunction, args=(wait4response,lock))
|
||||||
|
process.start()
|
||||||
|
|
||||||
|
|
||||||
|
sniff(filter="udp or icmp", prn=lambda packet: process_packet(stateTable,wait4response,lock,maxWaitResponse,ip_addres_dst,packet))
|
Loading…
Reference in New Issue
Block a user