How to Calculate Network Event Correlation in omnet++
To calculate the network event correlation in OMNeT++ had includes examining and finding relationships among several network events to gain insights into the network’s behaviour, develop network management, and detect anomalies. Event correlation is critical for understanding how numerous network events are interconnected and for answering effectively to incidents.
Step-by-Step Implementations:
- Understand Network Event Correlation
Network event correlation is the method of finding relationships among various network events, like:
- Temporal Correlation: Events that happen in close temporal proximity, advising a cause-and-effect relationship.
- Causal Correlation: Events where one event triggers or impacts another.
- Pattern Recognition: Finding patterns of events that indicate normal or abnormal behaviour.
- Impact Analysis: Knowing the impact of one event on the network, primary to subsequent events.
- Set up a Network with Event Logging
In OMNeT++, make a network topology that contains nodes where events will be logged. This logging will capture the essential data for event correlation analysis.
Example: Define a Network with Event Logging in NED
network EventCorrelationNetwork {
submodules:
client: Client;
router: Router;
server: Server;
eventLogger: EventLogger; // Module for logging and correlating events
connections:
client.out++ –> router.in++;
router.out++ –> server.in++;
server.out++ –> eventLogger.in++;
}
- Implement Event Logging
In the OMNeT++ modules denoting the logging points like the event logger or router, execute logic to log network events. These logs will be used for correlation analysis.
Example: Implementing an Event Logger
#include <omnetpp.h>
using namespace omnetpp;
class EventLogger : public cSimpleModule {
private:
std::vector<std::string> eventLog;
std::ofstream eventLogFile;
protected:
virtual void initialize() override {
// Open a log file to store event records
eventLogFile.open(“event_log.txt”);
}
virtual void handleMessage(cMessage *msg) override {
// Log the event
logEvent(msg, “Event occurred”);
// Forward the packet to the next node
send(msg, “out”);
}
void logEvent(cMessage *msg, const char *description) {
// Record the event in the event log
simtime_t currentTime = simTime();
const char *moduleName = getFullPath().c_str();
std::string logEntry = std::to_string(currentTime.dbl()) + ” – ” + moduleName + ” – ” + description + “: ” + msg->getName();
eventLog.push_back(logEntry);
// Log the event to the event log file
eventLogFile << logEntry << std::endl;
// Optionally, log to the simulation output
EV << logEntry << std::endl;
}
virtual void finish() override {
// Close the event log file at the end of the simulation
eventLogFile.close();
}
};
Define_Module(EventLogger);
- Simulate Network Traffic and Log Events
Create network traffic from the client to the server over the router, and use the event logger to capture all events that happen during the simulation.
Example: Traffic Simulation with Event Logging
class Client : public cSimpleModule {
protected:
virtual void initialize() override {
// Start generating traffic
scheduleAt(simTime() + par(“sendInterval”).doubleValue(), new cMessage(“clientRequest”));
}
virtual void handleMessage(cMessage *msg) override {
// Send the request to the router and then to the server
send(msg, “out”);
}
};
- Implement Event Correlation Analysis
Execute logic to correlate these events based on their time of existence, causality, or patterns after logging the events.
Example: Simple Event Correlation in the Event Logger
class EventLogger : public cSimpleModule {
private:
std::vector<std::string> eventLog;
std::ofstream eventLogFile;
protected:
virtual void initialize() override {
// Open a log file to store event records
eventLogFile.open(“event_log.txt”);
}
virtual void handleMessage(cMessage *msg) override {
// Log the event
logEvent(msg, “Event occurred”);
// Correlate events (example: check for sequential patterns)
correlateEvents();
// Forward the packet to the next node
send(msg, “out”);
}
void logEvent(cMessage *msg, const char *description) {
// Record the event in the event log
simtime_t currentTime = simTime();
const char *moduleName = getFullPath().c_str();
std::string logEntry = std::to_string(currentTime.dbl()) + ” – ” + moduleName + ” – ” + description + “: ” + msg->getName();
eventLog.push_back(logEntry);
// Log the event to the event log file
eventLogFile << logEntry << std::endl;
// Optionally, log to the simulation output
EV << logEntry << std::endl;
}
void correlateEvents() {
// Simple example: correlate events based on a time threshold
if (eventLog.size() >= 2) {
std::string lastEvent = eventLog[eventLog.size() – 1];
std::string secondLastEvent = eventLog[eventLog.size() – 2];
// Extract time from log entries (assuming the format is as above)
double lastEventTime = std::stod(lastEvent.substr(0, lastEvent.find(” “)));
double secondLastEventTime = std::stod(secondLastEvent.substr(0, secondLastEvent.find(” “)));
// Correlate if events occurred within a specific time threshold (e.g., 1 second)
if (lastEventTime – secondLastEventTime <= 1.0) {
EV << “Correlated events: ” << secondLastEvent << ” and ” << lastEvent << std::endl;
}
}
}
virtual void finish() override {
// Close the event log file at the end of the simulation
eventLogFile.close();
}
};
- Analyse Event Correlation Results
Examine the correlated events to know the relationships among various network events after the simulation. This analysis can support detect anomalies, improve network performance and identify patterns.
Example: Correlation Analysis
- Temporal Correlation: Find events that happen close together in time.
- Causal Correlation: Define if one event triggers another.
- Pattern Recognition: Identify repeated sequences of events that might show a specific network behaviour.
- Advanced Event Correlation Features
For more complete event correlation, we might need to:
- Implement Multi-Event Correlation: Correlate various events across unlike nodes in the network.
- Simulate Anomaly Detection: Use event correlation to detect deviations from normal patterns that may show security incidents or failures.
- Implement Real-Time Event Correlation: Always correlate events in real-time to offer instant insights into network behaviour.
- Example Scenario
In this example, the EventLogger module logs network events and relates them based on their happening time. Event correlation metrics, like correlated event pairs and patterns, are recorded and analysed.
network EventCorrelationExample {
submodules:
client: Client;
router: Router;
server: Server;
eventLogger: EventLogger;
connections:
client.out++ –> router.in++;
router.out++ –> server.in++;
server.out++ –> eventLogger.in++;
}
- Post-Simulation Event Correlation Analysis
To observe the recorded event correlation metrics by using OMNeT++’s built-in analysis tools. This analysis will support to know the relationships among various network events and identify patterns or anomalies that could be essential for network management.
Hence, we are provided simple procedure to implement and analyse the Network Event Correlation that gain insights into the network’s behaviour using the tool OMNeT++. We will offer further details depends on your requirements. To calculate the Network Event Correlation in omnet++ tool we serve you with best project guidance, share with us your parameter details we compare and provide you best results.