// Copyright 2022-2023 ETSI TeraFlowSDN - TFS OSG (https://tfs.etsi.org/)
//
// 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.

syntax = "proto3";

import "context.proto";

service L3Centralizedattackdetector {
  // Analyze single input to the ML model in the CAD component
  rpc AnalyzeConnectionStatistics (L3CentralizedattackdetectorMetrics) returns (StatusMessage) {}

  // Analyze a batch of inputs to the ML model in the CAD component
  rpc AnalyzeBatchConnectionStatistics (L3CentralizedattackdetectorBatchInput) returns (StatusMessage) {}

  // Get the list of features used by the ML model in the CAD component
  rpc GetFeaturesIds (context.Empty) returns (AutoFeatures) {}

  // Sets the list of attack IPs in order to be used to compute the prediction accuracy of the ML model in the CAD component in case of testing the ML model
  rpc SetAttackIPs (AttackIPs) returns (Empty) {}
}

message Feature {
	float feature = 1;
}

message L3CentralizedattackdetectorMetrics {
	// Input sent by the DAD compoenent to the ML model integrated in the CAD component.

	// Machine learning model features
	repeated Feature features = 1;	
	ConnectionMetadata connection_metadata = 2;

}

message ConnectionMetadata {
	string ip_o = 1;
	string port_o = 2;
	string ip_d = 3;
	string port_d = 4;
	string flow_id = 5;
	context.ServiceId service_id = 6;
	context.EndPointId endpoint_id = 7;
	string protocol = 8;
	float time_start = 9;
	float time_end = 10;
}

// Collection of values representing ML features
message AutoFeatures {
	repeated float auto_features = 1;
}

// Collection (batch) of model inputs that will be sent to the model
message L3CentralizedattackdetectorBatchInput {
	repeated L3CentralizedattackdetectorMetrics metrics = 1;
}

message StatusMessage {
	string message = 1;
}

message AttackIPs {
	repeated string attack_ips = 1;
}