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 Solid 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 91 95661 33822 Job Types Freelance Volunteer Contract length 12 months Pay 20 000 00 - 25 000 00 per month Work Location Remote