File size: 2,525 Bytes
2f3c093 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | import aiohttp
import asyncio
from modules.blockchain_logger import BlockchainLogger
class ThreatIntelligence:
def __init__(self):
self.sources = [
"https://api.threatsource1.com/v1/threats",
"https://api.threatsource2.com/v1/threats",
"https://api.threatsource3.com/v1/threats"
]
self.blockchain_logger = BlockchainLogger()
async def fetch_data(self, url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
data = await response.json()
self.blockchain_logger.log_event(f"Fetched data from {url}")
return data
async def fetch_all_data(self):
tasks = [self.fetch_data(url) for url in self.sources]
return await asyncio.gather(*tasks)
def process_data(self, data):
processed_data = []
for source_data in data:
for threat in source_data:
processed_data.append({
"threat_id": threat["id"],
"description": threat["description"],
"severity": threat["severity"],
"timestamp": threat["timestamp"]
})
self.blockchain_logger.log_event("Processed threat data")
return processed_data
async def get_threat_intelligence(self):
raw_data = await self.fetch_all_data()
return self.process_data(raw_data)
async def integrate_with_new_components(self, new_component_data):
latest_threats = await self.get_threat_intelligence()
analyzed_threats = self.process_data(latest_threats)
updated_simulations = self.generate_attack_simulations(analyzed_threats)
return updated_simulations
def ensure_compatibility(self, existing_data, new_component_data):
compatible_data = {
"existing_data": existing_data,
"new_component_data": new_component_data
}
return compatible_data
def generate_attack_simulations(self, threats):
simulations = []
for threat in threats:
if threat["severity"] > 0.9:
simulations.append("High-Risk Attack Simulation")
elif threat["severity"] > 0.7:
simulations.append("Medium-Risk Attack Simulation")
else:
simulations.append("Low-Risk Attack Simulation")
self.blockchain_logger.log_event("Generated attack simulations")
return simulations
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