Cybersecurity Engineer – DDoS Traffic Simulation, Data Attack Analysis Freelance

Cybersecurity Engineer – DDoS Traffic Simulation, Data Attack Analysis & Dataset DevelopmentJob Overview

We are seeking a highly skilled Cybersecurity Engineer with strong expertise in network attack simulation, Layer 3 & Layer 4 DDoS traffic generation, feature engineering, and dataset development. The ideal candidate will design and execute end-to-end pipelines for generating high-fidelity network datasets used for research, detection modeling, and cybersecurity system evaluation. This role involves hands-on work with tools such as Hping3, Mininet, Wireshark/tcpdump, and CICFlowMeter, and requires strong analytical skills for validating dataset quality and integrity.

Key Responsibilities1. DDoS Attack Simulation & Traffic Generation

• Design and execute Layer 3 and Layer 4 DDoS attack scenarios using tools such as Hping3, Mininet, and custom traffic scripts.
• Simulate at least 10 realistic DDoS attack vectors, including SYN floods, UDP floods, ICMP floods, TCP fragmentation attacks, and other volumetric or protocol-abusing scenarios.
• Generate controlled normal and malicious network traffic while maintaining a clean, reproducible simulation environment.

2. Dataset Pipeline Development

• Design, implement, and document a complete dataset generation pipeline, including:
• Network topology setup (Mininet/virtual lab)
• Attack execution and traffic orchestration
• PCAP capture using tcpdump/Wireshark
• Flow-based feature extraction with CICFlowMeter
• CSV dataset generation and metadata alignment
• Ensure the pipeline is modular, reproducible, and version-controlled.

3. Flow Labeling & Dataset Composition

• Generate, balance, and label normal (60%) and attack (40%) traffic flows.
• Assign accurate ground-truth labeling for all flows across the 10 selected scenarios.

4. Feature Engineering & Analysis

• Extract 70+ network features, including but not limited to:
• Source IP entropy, TTL variance, packet size distribution
• Flow IAT statistics
• TCP/UDP flag patterns
• SYN/ACK ratios and incomplete handshake indicators
• Port entropy, burstiness, flow duration metrics
• Perform exploratory data analysis to assess feature distributions, correlations, anomalies, and dataset completeness.

5. Dataset Quality Validation

• Validate dataset correctness by analyzing:
• Feature integrity and consistency
• Corruption or missing-flow detection
• Correlation matrices and multicollinearity
• Attack/normal traffic separability
• Produce summary statistics, validation reports, and visualizations as required.

6. Documentation & Deliverables

• Deliver a complete, well-structured research package, including:
• All PCAP files, CSV datasets, and extracted features
• All simulation and attack scripts
• Step-by-step technical documentation
• Architecture diagrams, flow charts, and reproducibility notes
• Ensure the dataset meets standards of originality, academic integrity, and reproducibility.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Network Engineering, or related field.
• Strong understanding of TCP/IP, L3/L4 protocols, and DDoS attack fundamentals.
• Hands-on experience with Hping3, Mininet, CICFlowMeter, tcpdump, and Linux-based network tools.
• Experience with dataset development, feature engineering, and network traffic analysis.
• Proficiency in Python or Bash for automation and workflow scripting.
• Familiarity with packet analysis, flow analysis, and security research methodologies.

Preferred Qualifications

• Experience with network simulation frameworks or SDN.
• Background in cybersecurity research or academic dataset development.
• Knowledge of anomaly detection, ML-based intrusion detection systems (IDS), or traffic classification.

Contact person:
Gray-95661 33822

Job Types: Part-time, Freelance, Volunteer
Contract length: 1 month

Pay: From ₹10,000.00 per month

Work Location: Remote