Freelance Researcher – Layer 3
1 week ago
Freelance Researcher – Layer 3 & Layer 4 DDoS Traffic Simulation, Feature Engineering, and Dataset Development
· Lead the design and development of a network traffic simulation and dataset generation pipeline focused on OSI Layer 3 and Layer 4 DDoS attack scenarios using Hping3, Mininet, and CICFlowMeter.
· Implement and document the generation of normal and attack traffic flows, ensuring the dataset contains 70+ engineered features, including entropy, TCP flag counts, timing characteristics, and packet-level metadata.
· Simulate and capture ICMP, SYN, UDP, ACK, RST, amplification, and other L3/L4 attack vectors using controlled Mininet scenarios, producing both PCAP and CSV-formatted datasets.
· Conduct dataset validation, quality assessment, and prepare the dataset for training, testing, and evaluation—particularly against benchmark datasets such as CICDDoS2019.
· Master's or Ph.D. in Cybersecurity, Computer Networks, Information Security, Computer Science, or Network Engineering.
· Demonstrated academic or practical experience in network traffic analysis, DDoS attack simulation, or intrusion detection research.
· Familiarity with OSI Layer 3 & 4 protocols, packet structures, and traffic behavior under adversarial conditions.
· Traffic Generation: Hping3 / Scapy (Hping3 is preferred)
· Network Emulation/Simulation: Mininet
· Feature Extraction Tools: CICFlowMeter (CICFlowMeter-V3 preferred)
· Data Processing: Python, Pandas, NumPy
· Packet Capture/Analysis: Wireshark, Tshark, PCAP handling
· Minimum 2 years of hands-on experience in network security research, traffic monitoring, or DDoS simulation.
· Prior work involving network flow feature extraction, entropy calculations, TCP/UDP behavioral analysis, or attack emulation in virtualized environments.
· Experience conducting research involving custom network datasets, flow-based IDS/IPS, or anomaly detection models is highly desirable.
· Strong understanding of Layer 3 (ICMP/IP) and Layer 4 (TCP/UDP) protocol behavior under normal and attack conditions.
· Ability to generate and analyze attacks such as ICMP Flood, SYN Flood, UDP Flood, ACK Flood, RST Flood, amplification attacks, and TCP connection exhaustion.
· Knowledge of entropy-based detection, TCP flag analysis, flow timing, inter-arrival times, and packet distribution metrics.
· Proficiency in handling PCAP → CSV conversions and designing reproducible feature extraction pipelines.
· Design, implement, and document a complete dataset generation pipeline, including simulation setup, attack execution, PCAP capture, and CSV conversion using CICFlowMeter.
· Generate and label normal (60%) and attack (40%) network flows across 10 selected L3/L4 DDoS attack scenarios.
· Extract 70+ dataset features, including Source IP entropy, TTL variance, packet size distribution, Flow IAT, TCP/UDP flag statistics, SYN/ACK ratio, incomplete handshakes, port entropy, etc.
· Validate dataset quality by analyzing feature distributions, correlations, and flow integrity.
· Provide all deliverables, including PCAP files, CSV datasets, simulation scripts, and technical documentation.
· Ensure originality, academic integrity, and reproducibility throughout the project.
Contact Person:
Gray
Job Types: Freelance, Volunteer
Contract length: 12 months
Pay: ₹20, ₹25,000.00 per month
Work Location: Remote
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