Job Description

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