import logging
from random import randint, uniform, choice #Aidmar choice
from lea import Lea
from scipy.stats import gamma
from Attack import BaseAttack
from Attack.AttackParameters import Parameter as Param
from Attack.AttackParameters import ParameterTypes
logging.getLogger("scapy.runtime").setLevel(logging.ERROR)
# noinspection PyPep8
from scapy.layers.inet import IP, Ether, TCP, RandShort
from collections import deque
class DDoSAttack(BaseAttack.BaseAttack):
def __init__(self, statistics, pcap_file_path):
"""
Creates a new instance of the DDoS attack.
:param statistics: A reference to the statistics class.
"""
# Initialize attack
super(DDoSAttack, self).__init__(statistics, "DDoS Attack", "Injects a DDoS attack'",
"Resource Exhaustion")
# Define allowed parameters and their type
self.supported_params = {
Param.IP_SOURCE: ParameterTypes.TYPE_IP_ADDRESS,
Param.MAC_SOURCE: ParameterTypes.TYPE_MAC_ADDRESS,
Param.PORT_SOURCE: ParameterTypes.TYPE_PORT,
Param.IP_DESTINATION: ParameterTypes.TYPE_IP_ADDRESS,
Param.MAC_DESTINATION: ParameterTypes.TYPE_MAC_ADDRESS,
Param.PORT_DESTINATION: ParameterTypes.TYPE_PORT,
Param.INJECT_AT_TIMESTAMP: ParameterTypes.TYPE_FLOAT,
Param.INJECT_AFTER_PACKET: ParameterTypes.TYPE_PACKET_POSITION,
Param.PACKETS_PER_SECOND: ParameterTypes.TYPE_FLOAT,
Param.PACKETS_LIMIT: ParameterTypes.TYPE_INTEGER_POSITIVE,
Param.NUMBER_ATTACKERS: ParameterTypes.TYPE_INTEGER_POSITIVE,
Param.ATTACK_DURATION: ParameterTypes.TYPE_INTEGER_POSITIVE,
Param.VICTIM_BUFFER: ParameterTypes.TYPE_INTEGER_POSITIVE
}
# PARAMETERS: initialize with default values
# (values are overwritten if user specifies them)
self.add_param_value(Param.INJECT_AFTER_PACKET, randint(0, self.statistics.get_packet_count()))
# attacker configuration
num_attackers = randint(1, 16)
# The most used IP class in background traffic
most_used_ip_class = self.statistics.process_db_query("most_used(ipClass)")
self.add_param_value(Param.IP_SOURCE, self.generate_random_ipv4_address(most_used_ip_class, num_attackers))
self.add_param_value(Param.MAC_SOURCE, self.generate_random_mac_address(num_attackers))
self.add_param_value(Param.PORT_SOURCE, str(RandShort()))
self.add_param_value(Param.PACKETS_PER_SECOND, 0)
self.add_param_value(Param.ATTACK_DURATION, randint(5,30))
# victim configuration
random_ip_address = self.statistics.get_random_ip_address()
self.add_param_value(Param.IP_DESTINATION, random_ip_address)
destination_mac = self.statistics.get_mac_address(random_ip_address)
if isinstance(destination_mac, list) and len(destination_mac) == 0:
destination_mac = self.generate_random_mac_address()
self.add_param_value(Param.MAC_DESTINATION, destination_mac)
self.add_param_value(Param.VICTIM_BUFFER, randint(1000,10000))
self.add_param_value(Param.PACKETS_LIMIT, 0)
def generate_attack_pcap(self):
def update_timestamp(timestamp, pps, delay=0):
"""
Calculates the next timestamp to be used based on the packet per second rate (pps) and the maximum delay.
:return: Timestamp to be used for the next packet.
"""
if delay == 0:
# Calculate the request timestamp
# A distribution to imitate the bursty behavior of traffic
randomdelay = Lea.fromValFreqsDict({1 / pps: 70, 2 / pps: 20, 5 / pps: 7, 10 / pps: 3})
return timestamp + uniform(1 / pps, randomdelay.random())
else:
# Calculate the reply timestamp
randomdelay = Lea.fromValFreqsDict({2 * delay: 70, 3 * delay: 20, 5 * delay: 7, 10 * delay: 3})
return timestamp + uniform(1 / pps + delay, 1 / pps + randomdelay.random())
def get_nth_random_element(*element_list):
"""
Returns the n-th element of every list from an arbitrary number of given lists.
For example, list1 contains IP addresses, list 2 contains MAC addresses. Use of this function ensures that
the n-th IP address uses always the n-th MAC address.
:param element_list: An arbitrary number of lists.
:return: A tuple of the n-th element of every list.
"""
range_max = min([len(x) for x in element_list])
if range_max > 0: range_max -= 1
n = randint(0, range_max)
return tuple(x[n] for x in element_list)
def index_increment(number: int, max: int):
if number + 1 < max:
return number + 1
else:
return 0
def getIntervalPPS(complement_interval_pps, timestamp):
"""
Gets the packet rate (pps) for a specific time interval.
:param complement_interval_pps: an array of tuples (the last timestamp in the interval, the packet rate in the crresponding interval).
:param timestamp: the timestamp at which the packet rate is required.
:return: the corresponding packet rate (pps) .
"""
for row in complement_interval_pps:
if timestamp <= row[0]:
return row[1]
# In case the timestamp > capture max timestamp
return complement_interval_pps[-1][1]
def get_attacker_config(ipAddress: str):
"""
Returns the attacker configuration depending on the IP address, this includes the port for the next
attacking packet and the previously used (fixed) TTL value.
:param ipAddress: The IP address of the attacker
:return: A tuple consisting of (port, ttlValue)
"""
# Determine port
port = attacker_port_mapping.get(ipAddress)
if port is not None: # use next port
next_port = attacker_port_mapping.get(ipAddress) + 1
if next_port > (2 ** 16 - 1):
next_port = 1
else: # generate starting port
next_port = RandShort()
attacker_port_mapping[ipAddress] = next_port
# Determine TTL value
ttl = attacker_ttl_mapping.get(ipAddress)
if ttl is None: # determine TTL value
is_invalid = True
pos = ip_source_list.index(ipAddress)
pos_max = len(gd)
while is_invalid:
ttl = int(round(gd[pos]))
if 0 < ttl < 256: # validity check
is_invalid = False
else:
pos = index_increment(pos, pos_max)
attacker_ttl_mapping[ipAddress] = ttl
# return port and TTL
return next_port, ttl
BUFFER_SIZE = 1000
# Determine source IP and MAC address
num_attackers = self.get_param_value(Param.NUMBER_ATTACKERS)
if num_attackers is not None: # user supplied Param.NUMBER_ATTACKERS
# The most used IP class in background traffic
most_used_ip_class = self.statistics.process_db_query("most_used(ipClass)")
# Create random attackers based on user input Param.NUMBER_ATTACKERS
ip_source_list = self.generate_random_ipv4_address(most_used_ip_class, num_attackers)
mac_source_list = self.generate_random_mac_address(num_attackers)
else: # user did not supply Param.NUMBER_ATTACKS
# use default values for IP_SOURCE/MAC_SOURCE or overwritten values
# if user supplied any values for those params
ip_source_list = self.get_param_value(Param.IP_SOURCE)
mac_source_list = self.get_param_value(Param.MAC_SOURCE)
# Initialize parameters
packets = deque(maxlen=BUFFER_SIZE)
port_source_list = self.get_param_value(Param.PORT_SOURCE)
mac_destination = self.get_param_value(Param.MAC_DESTINATION)
ip_destination = self.get_param_value(Param.IP_DESTINATION)
most_used_ip_address = self.statistics.get_most_used_ip_address()
pps = self.get_param_value(Param.PACKETS_PER_SECOND)
if pps == 0:
result = self.statistics.process_db_query("SELECT MAX(maxPktRate) FROM ip_statistics WHERE ipAddress='"+ip_destination+"';")
if result:
pps = num_attackers * result
else:
result = self.statistics.process_db_query("SELECT MAX(maxPktRate) FROM ip_statistics WHERE ipAddress='"+most_used_ip_address+"';")
pps = num_attackers * result
# Calculate complement packet rates of the background traffic for each interval
attacker_pps = pps / num_attackers
complement_interval_attacker_pps = self.statistics.calculate_complement_packet_rates(attacker_pps)
# Check ip.src == ip.dst
self.ip_src_dst_equal_check(ip_source_list, ip_destination)
# Aidmar
port_destination = self.get_param_value(Param.PORT_DESTINATION)
if not port_destination: # user did not define port_dest
port_destination = self.statistics.process_db_query(
"SELECT portNumber FROM ip_ports WHERE portDirection='in' AND ipAddress='" + ip_destination + "' ORDER BY portCount DESC LIMIT 1;")
if not port_destination: # no port was retrieved
port_destination = self.statistics.process_db_query(
"SELECT portNumber FROM ip_ports WHERE portDirection='in' GROUP BY portNumber ORDER BY SUM(portCount) DESC LIMIT 1;")
if not port_destination:
port_destination = max(1, str(RandShort()))
attacker_port_mapping = {}
attacker_ttl_mapping = {}
# Gamma distribution parameters derived from MAWI 13.8G dataset
alpha, loc, beta = (2.3261710235, -0.188306914406, 44.4853123884)
gd = gamma.rvs(alpha, loc=loc, scale=beta, size=len(ip_source_list))
path_attack_pcap = None
# Aidmar
timestamp_prv_reply, timestamp_confirm = 0, 0
minDelay, maxDelay = self.get_reply_delay(ip_destination)
victim_buffer = self.get_param_value(Param.VICTIM_BUFFER)
# Aidmar
pkts_num = self.get_param_value(Param.PACKETS_LIMIT)
if pkts_num == 0:
attack_duration = self.get_param_value(Param.ATTACK_DURATION)
pkts_num = int(pps * attack_duration)
source_win_sizes = self.statistics.process_db_query(
"SELECT DISTINCT winSize FROM tcp_win ORDER BY RANDOM() LIMIT "+str(pkts_num)+";")
destination_win_dist = self.statistics.get_win_distribution(ip_destination)
if len(destination_win_dist) > 0:
destination_win_prob_dict = Lea.fromValFreqsDict(destination_win_dist)
destination_win_value = destination_win_prob_dict.random()
else:
destination_win_value = self.statistics.process_db_query("most_used(winSize)")
# MSS that was used by IP destination in background traffic
mss_dst = self.statistics.get_most_used_mss(ip_destination)
if mss_dst is None:
mss_dst = self.statistics.process_db_query("most_used(mssValue)")
replies_count = 0
# Aidmar
for attacker in range(num_attackers):
# Timestamp
timestamp_next_pkt = self.get_param_value(Param.INJECT_AT_TIMESTAMP)
timestamp_next_pkt = update_timestamp(timestamp_next_pkt, attacker_pps)
attacker_pkts_num = int(pkts_num / num_attackers) + randint(0,100)
for pkt_num in range(attacker_pkts_num):
# Build request package
# Select one IP address and its corresponding MAC address
(ip_source, mac_source) = get_nth_random_element(ip_source_list, mac_source_list)
# Determine source port
(port_source, ttl_value) = get_attacker_config(ip_source)
request_ether = Ether(dst=mac_destination, src=mac_source)
request_ip = IP(src=ip_source, dst=ip_destination, ttl=ttl_value)
# Aidmar - random win size for each packet
# request_tcp = TCP(sport=port_source, dport=port_destination, flags='S', ack=0)
source_win_size = choice(source_win_sizes)
request_tcp = TCP(sport=port_source, dport=port_destination, flags='S', ack=0, window=source_win_size)
request = (request_ether / request_ip / request_tcp)
request.time = timestamp_next_pkt
# Append request
packets.append(request)
# Build reply package
# Aidmar
if replies_count <= victim_buffer:
reply_ether = Ether(src=mac_destination, dst=mac_source)
reply_ip = IP(src=ip_destination, dst=ip_source, flags='DF')
reply_tcp = TCP(sport=port_destination, dport=port_source, seq=0, ack=1, flags='SA', window=destination_win_value,options=[('MSS', mss_dst)])
reply = (reply_ether / reply_ip / reply_tcp)
timestamp_reply = update_timestamp(timestamp_next_pkt, attacker_pps, minDelay)
while (timestamp_reply <= timestamp_prv_reply):
timestamp_reply = update_timestamp(timestamp_prv_reply, attacker_pps, minDelay)
timestamp_prv_reply = timestamp_reply
reply.time = timestamp_reply
packets.append(reply)
replies_count+=1
attacker_pps = max(getIntervalPPS(complement_interval_attacker_pps, timestamp_next_pkt), (pps/num_attackers)/2)
timestamp_next_pkt = update_timestamp(timestamp_next_pkt, attacker_pps)
# Store timestamp of first packet (for attack label)
if pkt_num == 1:
self.attack_start_utime = packets[0].time
elif pkt_num % BUFFER_SIZE == 0: # every 1000 packets write them to the pcap file (append)
last_packet = packets[-1]
packets = sorted(packets, key=lambda pkt: pkt.time)
path_attack_pcap = self.write_attack_pcap(packets, True, path_attack_pcap)
packets = []
if len(packets) > 0:
packets = sorted(packets, key=lambda pkt: pkt.time)
path_attack_pcap = self.write_attack_pcap(packets, True, path_attack_pcap)
# Store timestamp of last packet
self.attack_end_utime = last_packet.time
# return packets sorted by packet time_sec_start
# pkt_num+1: because pkt_num starts at 0
return pkt_num + 1, path_attack_pcap