Newer
Older
# Copyright 2021-2023 H2020 TeraFlow (https://www.teraflow-h2020.eu/)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os, grpc, logging, random
from influxdb import InfluxDBClient
from common.rpc_method_wrapper.Decorator import create_metrics, safe_and_metered_rpc_method
from context.client.ContextClient import ContextClient
from context.Config import GRPC_SERVICE_PORT as CONTEXT_GRPC_SERVICE_PORT
from monitoring.client.MonitoringClient import MonitoringClient
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
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
from monitoring.Config import GRPC_SERVICE_PORT as MONITORING_GRPC_SERVICE_PORT
from service.client.ServiceClient import ServiceClient
from service.Config import GRPC_SERVICE_PORT as SERVICE_GRPC_SERVICE_PORT
from dbscanserving.proto.dbscanserving_pb2 import DetectionRequest, DetectionResponse, Sample
from dbscanserving.client.DbscanServingClient import DbscanServingClient
from dbscanserving.Config import GRPC_SERVICE_PORT as DBSCANSERVING_GRPC_SERVICE_PORT
from opticalattackmitigator.client.OpticalAttackMitigatorClient import OpticalAttackMitigatorClient
from opticalattackmitigator.proto.optical_attack_mitigator_pb2 import AttackDescription, AttackResponse
from opticalattackmitigator.Config import GRPC_SERVICE_PORT as ATTACK_MITIGATOR_GRPC_SERVICE_PORT
from opticalcentralizedattackdetector.proto.context_pb2 import (Empty,
Context, ContextId, ContextIdList, ContextList,
Service, ServiceId, ServiceIdList, ServiceList
)
from opticalcentralizedattackdetector.proto.monitoring_pb2 import KpiList
from opticalcentralizedattackdetector.proto.optical_centralized_attack_detector_pb2_grpc import (
OpticalCentralizedAttackDetectorServiceServicer)
from opticalcentralizedattackdetector.Config import (
CONTEXT_SERVICE_ADDRESS, SERVICE_SERVICE_ADDRESS, INFERENCE_SERVICE_ADDRESS, MONITORING_SERVICE_ADDRESS,
ATTACK_MITIGATOR_SERVICE_ADDRESS)
LOGGER = logging.getLogger(__name__)
SERVICE_NAME = 'OpticalCentralizedAttackDetector'
METHOD_NAMES = ['NotifyServiceUpdate', 'DetectAttack', 'ReportSummarizedKpi', 'ReportKpi']
METRICS = create_metrics(SERVICE_NAME, METHOD_NAMES)
INFLUXDB_HOSTNAME = os.environ.get("INFLUXDB_HOSTNAME")
INFLUXDB_USER = os.environ.get("INFLUXDB_USER")
INFLUXDB_PASSWORD = os.environ.get("INFLUXDB_PASSWORD")
INFLUXDB_DATABASE = os.environ.get("INFLUXDB_DATABASE")
context_client: ContextClient = ContextClient(address=CONTEXT_SERVICE_ADDRESS, port=CONTEXT_GRPC_SERVICE_PORT)
influxdb_client: InfluxDBClient = InfluxDBClient(host=MONITORING_SERVICE_ADDRESS, port=8086, username=INFLUXDB_USER, password=INFLUXDB_PASSWORD, database=INFLUXDB_DATABASE)
monitoring_client: MonitoringClient = MonitoringClient(server=MONITORING_SERVICE_ADDRESS, port=MONITORING_GRPC_SERVICE_PORT)
dbscanserving_client: DbscanServingClient = DbscanServingClient(address=INFERENCE_SERVICE_ADDRESS, port=DBSCANSERVING_GRPC_SERVICE_PORT)
service_client: ServiceClient = ServiceClient(SERVICE_SERVICE_ADDRESS, SERVICE_GRPC_SERVICE_PORT)
attack_mitigator_client: OpticalAttackMitigatorClient = OpticalAttackMitigatorClient(address=ATTACK_MITIGATOR_SERVICE_ADDRESS, port=ATTACK_MITIGATOR_GRPC_SERVICE_PORT)
class OpticalCentralizedAttackDetectorServiceServicerImpl(OpticalCentralizedAttackDetectorServiceServicer):
def __init__(self):
LOGGER.debug('Creating Servicer...')
LOGGER.debug('Servicer Created')
@safe_and_metered_rpc_method(METRICS, LOGGER)
def NotifyServiceUpdate(self, request : Service, context : grpc.ServicerContext) -> Empty:
return Empty()
@safe_and_metered_rpc_method(METRICS, LOGGER)
def DetectAttack(self, request : Empty, context : grpc.ServicerContext) -> Empty:
# retrieve list with current contexts
# import pdb; pdb.set_trace()
context_ids: ContextIdList = context_client.ListContextIds(Empty())
# for each context, retrieve list of current services
services = []
for context_id in context_ids.context_ids:
context_services: ServiceIdList = context_client.ListServices(context_id)
for service in context_services.services:
services.append(service)
# get monitoring data for each of the current services
results = influxdb_client.query('select * from samples;')
for service in services:
for endpoint in service.service_endpoint_ids:
# get instant KPI for this endpoint
LOGGER.warning(f'service: {service.service_id.service_uuid.uuid}\t endpoint: {endpoint.endpoint_uuid.uuid}\tdevice: {endpoint.device_id.device_uuid.uuid}')
# how to get all KPIs for a particular device?
points = results.get_points(tags={'device_id': endpoint.device_id.device_uuid.uuid})
print('points:', points)
for point in points:
print('\t', point)
# run attack detection for every service
request: DetectionRequest = DetectionRequest()
request.num_samples = 310
request.num_features = 100
request.eps = 100.5
request.min_samples = 50
for _ in range(200):
grpc_sample = Sample()
for __ in range(100):
grpc_sample.features.append(random.uniform(0., 10.))
request.samples.append(grpc_sample)
for _ in range(100):
grpc_sample = Sample()
for __ in range(100):
grpc_sample.features.append(random.uniform(50., 60.))
request.samples.append(grpc_sample)
for _ in range(10):
grpc_sample = Sample()
for __ in range(100):
grpc_sample.features.append(random.uniform(5000., 6000.))
request.samples.append(grpc_sample)
response: DetectionResponse = dbscanserving_client.Detect(request)
if -1 in response.cluster_indices: # attack detected
attack = AttackDescription()
attack.cs_id.uuid = service.service_id.service_uuid.uuid
response: AttackResponse = attack_mitigator_client.NotifyAttack(attack)
# if attack is detected, run the attack mitigator
return Empty()
@safe_and_metered_rpc_method(METRICS, LOGGER)
def ReportSummarizedKpi(self, request : KpiList, context : grpc.ServicerContext) -> Empty:
return Empty()
@safe_and_metered_rpc_method(METRICS, LOGGER)
def ReportKpi(self, request : KpiList, context : grpc.ServicerContext) -> Empty:
return Empty()