Bases: CommunicationAttack
Implements an attack that delays the execution of a target method by a specified amount of time.
Source code in nebula/addons/attacks/communications/floodingattack.py
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77 | class FloodingAttack(CommunicationAttack):
"""
Implements an attack that delays the execution of a target method by a specified amount of time.
"""
def __init__(self, engine, attack_params: dict):
"""
Initializes the DelayerAttack with the engine and attack parameters.
Args:
engine: The engine managing the attack context.
attack_params (dict): Parameters for the attack, including the delay duration.
"""
try:
round_start = int(attack_params["round_start_attack"])
round_stop = int(attack_params["round_stop_attack"])
attack_interval = int(attack_params["attack_interval"])
self.flooding_factor = int(attack_params["flooding_factor"])
self.target_percentage = int(attack_params["target_percentage"])
self.selection_interval = int(attack_params["selection_interval"])
except KeyError as e:
raise ValueError(f"Missing required attack parameter: {e}")
except ValueError:
raise ValueError("Invalid value in attack_params. Ensure all values are integers.")
self.verbose = False
super().__init__(
engine,
CommunicationsManager.get_instance(),
"send_message",
round_start,
round_stop,
attack_interval,
self.flooding_factor,
self.target_percentage,
self.selection_interval,
)
def decorator(self, flooding_factor: int):
"""
Decorator that adds a delay to the execution of the original method.
Args:
flooding_factor (int): The number of times to repeat the function execution.
Returns:
function: A decorator function that wraps the target method with the delay logic.
"""
def decorator(func):
@wraps(func)
async def wrapper(*args, **kwargs):
if len(args) == 4 and args[3] == "model":
dest_addr = args[1]
if dest_addr in self.targets:
logging.info(f"[FloodingAttack] Flooding message to {dest_addr} by {flooding_factor} times")
for i in range(flooding_factor):
if self.verbose:
logging.info(
f"[FloodingAttack] Sending duplicate {i + 1}/{flooding_factor} to {dest_addr}"
)
_, *new_args = args # Exclude self argument
await func(*new_args, **kwargs)
_, *new_args = args
return await func(*new_args)
return wrapper
return decorator
|
__init__(engine, attack_params)
Initializes the DelayerAttack with the engine and attack parameters.
Parameters:
Name |
Type |
Description |
Default |
engine
|
|
The engine managing the attack context.
|
required
|
attack_params
|
dict
|
Parameters for the attack, including the delay duration.
|
required
|
Source code in nebula/addons/attacks/communications/floodingattack.py
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45 | def __init__(self, engine, attack_params: dict):
"""
Initializes the DelayerAttack with the engine and attack parameters.
Args:
engine: The engine managing the attack context.
attack_params (dict): Parameters for the attack, including the delay duration.
"""
try:
round_start = int(attack_params["round_start_attack"])
round_stop = int(attack_params["round_stop_attack"])
attack_interval = int(attack_params["attack_interval"])
self.flooding_factor = int(attack_params["flooding_factor"])
self.target_percentage = int(attack_params["target_percentage"])
self.selection_interval = int(attack_params["selection_interval"])
except KeyError as e:
raise ValueError(f"Missing required attack parameter: {e}")
except ValueError:
raise ValueError("Invalid value in attack_params. Ensure all values are integers.")
self.verbose = False
super().__init__(
engine,
CommunicationsManager.get_instance(),
"send_message",
round_start,
round_stop,
attack_interval,
self.flooding_factor,
self.target_percentage,
self.selection_interval,
)
|
decorator(flooding_factor)
Decorator that adds a delay to the execution of the original method.
Parameters:
Name |
Type |
Description |
Default |
flooding_factor
|
int
|
The number of times to repeat the function execution.
|
required
|
Returns:
Name | Type |
Description |
function |
|
A decorator function that wraps the target method with the delay logic.
|
Source code in nebula/addons/attacks/communications/floodingattack.py
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77 | def decorator(self, flooding_factor: int):
"""
Decorator that adds a delay to the execution of the original method.
Args:
flooding_factor (int): The number of times to repeat the function execution.
Returns:
function: A decorator function that wraps the target method with the delay logic.
"""
def decorator(func):
@wraps(func)
async def wrapper(*args, **kwargs):
if len(args) == 4 and args[3] == "model":
dest_addr = args[1]
if dest_addr in self.targets:
logging.info(f"[FloodingAttack] Flooding message to {dest_addr} by {flooding_factor} times")
for i in range(flooding_factor):
if self.verbose:
logging.info(
f"[FloodingAttack] Sending duplicate {i + 1}/{flooding_factor} to {dest_addr}"
)
_, *new_args = args # Exclude self argument
await func(*new_args, **kwargs)
_, *new_args = args
return await func(*new_args)
return wrapper
return decorator
|