How to Start DDoS Projects Using OMNeT++
To create a DDoS (Distributed Denial of Service) attack replication for the project in OMNeT++ ha involves a generating the network situations in which the several nodes perform as an attackers, overwhelming a victim node or service by congestion. This can help examine the attack’s effect and create the mitigation techniques. Here’s a step-by-step guide to following based on this procedure:
Steps to Start DDoS Projects Using OMNeT++
- Set up Your Environment
- Install OMNeT++:
- Download OMNeT++ from the official website.
- Install the latest fixed version, such as OMNeT++ 6.x.
- Install INET Framework:
- Download the INET Framework from its GitHub repository.
- Generate the INET Framework in OMNeT++.
- Understand DDoS Attack Mechanics
- In a DDoS attack, multiple malicious nodes (bots) send overwhelming number of congestion to a goal, for exhausting its resources
- General the DDoS kinds for the involves they are:
- UDP Flood: Increase the volume for transmitting the UDP packets.
- TCP SYN Flood: Manipulating the TCP handshake process for the TCP SYN flood.
- HTTP Flood: Forwarding the excessive for HTTP requests to overcome a server.
- Design Your Network Topology
- State a network architecture:
- Nodes: it involves the legitimate clients, attacker nodes, and the victim for the node.
- Traffic: Setting the legitimate and malicious congestion flows for the architecture.
- Example topology:
- Legitimate clients: Create congestion for general is legitimate the clients.
- Attackers (bots): Flood the victim through malicious congestion.
- Victim: The server or service receipts the attack for a victim.
- Create or Modify Modules
- Victim Node:
- Used a previous server module for the victim node for sample inet.applications.tcpapp.TcpServerApp.
- Setting the victim we maintain the legitimate traffic.
- Attacker Nodes:
- Build a modify DDoS attacker components through alter acongestion generator for instance inet.applications.udpapp.UdpBasicApp.
- Apply the logic we transmit the malicious congestion at increase the rates.
Example attacker code (pseudo):
class DDoSAttacker : public inet::UdpBasicApp {
protected:
virtual void handleTimer(cMessage *msg) override {
// Generate malicious packets
auto packet = createPacket(“MaliciousPacket”);
sendPacket(packet);
scheduleAt(simTime() + par(“attackInterval”), msg);
}
};
- Configure the Simulation
- Network Configuration (.ini file):
- State the total of legitimate clients, attackers, and the victim for network setting.
- Set-up the congestion parameters metrices for every node.
Example configuration:
[Config DDoS_Simulation]
network = DDoSNetwork
sim-time-limit = 100s
# Legitimate clients
*.client[*].app[0].typename = “UdpBasicApp”
*.client[*].app[0].destAddresses = “victim”
*.client[*].app[0].messageLength = 512B
*.client[*].app[0].sendInterval = uniform(0.1s, 0.2s)
# Attacker nodes
*.attacker[*].app[0].typename = “DDoSAttacker”
*.attacker[*].app[0].destAddresses = “victim”
*.attacker[*].app[0].messageLength = 512B
*.attacker[*].app[0].sendInterval = uniform(0.001s, 0.005s)
# Victim server
*.victim.app[0].typename = “TcpServerApp”
- Run the Simulation
- Open the OMNeT++ IDE and replication for the processing.
- Observe network behavior:
- We track the congestion flows.
- Classify on how the victim maintain the legitimate against malicious congestion.
- Analyze the Results
- Metrics to evaluate:
- Throughput: Calculate the legitimate and malicious congestion rates.
- Packet Loss: Checked on how many legitimate packets are stopped in the packet loss.
- Server Response Time: examine the delay for below the attack.
- CPU/Memory Usage: Estimate the victim’s resource usage for the CPU consumption.
- Used the outcomes for OMNeT++ tools we make a graphs and logs.
- Enhance the Simulation (Optional)
- Implement DDoS Mitigation:
- Improve the rate-limiting mechanisms on the victim.
- Apply the Intrusion Detection System (IDS) we block the attackers.
- Experiment with Attack Variants:
- Validate the various attack of DDoS methods for sample TCP SYN flood, HTTP flood.
- Simulate Large-Scale Attacks:
- Used a further general network through distributed the bots for large scale networks.
- Visualize and Document Results
- Used envision for OMNeT++ we replicate the outcomes for visualization.
- Document:
- We configure the attacks and parameters metrices.
- Network performance is impacted.
- Efficiency of mitigation methods.
Finally, we had effectively distributed the significant procedures to simulate the Distributed Denial of Service in OMNeT++ tool and also we deliver the sample snippets and their explanation. Further data about Distributed Denial of Service will be shared in upcoming manual.