How to Start Intrusion Prevention Systems Project Using NS2
To create an Intrusion Prevention Systems (IPS) projects using NS2 has includes the replicating network environments to find, avoid, and enhance the malicious activities or attacks. Here is a step-by-step guide to help you design, implement, and analyze IPS functionalities in NS2.
Steps to Start Intrusion Prevention Systems Project Using NS2
- Understand Intrusion Prevention Systems
An IPS tracks the network congestion we finding the block malicious activities. Core IPS functionalities include:
- Threat Detection: Classify the malicious activities like as unauthorized access, DDoS attacks, or data breaches.
- Response: Taking corrective movements like as dropping malicious packets, blocking IPs, or rerouting traffic.
- Prevention: It avoids the attacks through rules, anomaly detection, and behavior monitoring.
Typical attack scenarios for IPS projects:
- DDoS attacks
- Packet tampering
- Protocol violations
- Unauthorized access attempts
- Set Up NS2 Environment
- Install NS2:
- Use the tool NS2.35 on a Linux-based system for better compatibility.
- Verify Installation:
- Process for the simple replication script to confirm the installation is working.
- Install Additional Tools:
- Tools like Wireshark for packet analysis can be useful for deeper insights.
- Post-simulation data analysis for AWK, Python, or MATLAB.
- Define Your IPS Project Goals
Decide the type of intrusion prevention system you want to simulate. Examples:
- Signature-Based IPS: It similar the known attack designs.
- Anomaly-Based IPS: Classify the deviations from general congestion behavior.
- Behavior-Based IPS: Observe the unusual node behaviors for sample repeated failed logins, high traffic from a single node.
- Hybrid IPS: It associates the several methods.
- Create or Modify Simulation Scripts
Use the tool for TCL scripts to replicate the IPS environment.
Basic Steps:
- Define Network Topology:
set ns [new Simulator]
set n1 [$ns node]
set n2 [$ns node]
set n3 [$ns node] ;# Malicious node
$ns duplex-link $n1 $n2 10Mb 10ms DropTail
$ns duplex-link $n2 $n3 10Mb 10ms DropTail
- Simulate Normal and Malicious Traffic:
- Enhance the general congestion among n1 and n2.
- Replicate the malicious traffic from n3.
$ns at 5.0 “[$n3 send] start-udp-attack”
- Log Traffic Data:
- Ensure the specific logging for packet-level analysis.
set tracefile [open ips-trace.tr w]
$ns trace-all $tracefile
- Detect and Block Malicious Traffic:
- Improve the IPS logic:
proc prevent_intrusion {packet node} {
if {[is_malicious $packet]} {
puts “Malicious packet detected! Blocking traffic from $node”
$ns drop-packet $packet
}
}
- Extend NS2 with Custom Modules
For advanced IPS replication, extend NS2 using C++:
- Packet Inspection:
- Alter the packet.h and tcp.cc to include IPS logic.
- Sample: Improve a field in the packet header for attack finding flags.
struct hdr_ips {
bool malicious_flag;
};
- Traffic Analysis:
- Enhance the procedures to analyze the congestion design. For instance excessive packet rates, unusual routing behavior).
- Recompile NS2:
- Recompile NS2 after making alternation:
make clean
make
- Simulate Attack Scenarios
Establish the specific attacks to validate the IPS:
- DDoS Attack Simulation:
- Use the several nodes to forward the flood of packets to a single target.
- Spoofed Packets:
- Alter the packet headers to replicate the spoofed IP addresses.
- Replay Attacks:
- Replay the seizure the packets replicate an attack.
- Analyze and Visualize Results
- Trace File Analysis:
- Extract related the data for sample dropped malicious packets, blocked IPs.
- Sample AWK script for analyzing malicious packets:
awk ‘{if ($4 == “malicious”) print $0}’ ips-trace.tr
- Metrics to Evaluate:
- Detection accuracy: The rate of attacks detected.
- False positives: Rate of the normal traffic flagged as malicious.
- Response time: It takes the duration of block an attack.
- Visualization:
- Use the tool for NAM (Network Animator) for envisions the network activity, including blocked traffic.
- Integrate Advanced IPS Features
- Machine Learning-Based Detection:
- Train a model on network traces and incorporate with NS2 for anomaly detection.
- Dynamic Rules:
- Execute the adaptive rules which adapt based on the detected threats.
- Distributed IPS:
- Replicate the collaborative IPS between various nodes.
- Document Your Project
Include:
- The Project goals and objectives.
- Then process the goals based on the network topology and configurations.
- After examine the based on setting for attack scenarios and prevention mechanisms.
- Then gives the parameter outcomes and analysis.
- Finally it gives contribution of conclusions and future work.
- Example Project Ideas
- DDoS Attack Prevention:
- Replicate and block malicious congestion using rate-limiting methods.
- Behavior-Based IPS for IoT:
- Find and block the abnormal behavior in IoT devices.
- Hybrid IPS:
- It associates the signature and anomaly-based detection in a single system.
- Intrusion Prevention in MANETs:
- Avoid the unauthorized access in mobile ad hoc networks.
- Encryption-Based IPS:
- Block the unauthorized packets with different encode payloads.
With this approach, you can identify the malicious activities performed in the network by following the provided detailed process on how to implement Instruction Prevention that executed in the tool of ns2. Any doubts regarding this project will be explained in an additional manual.