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Jetlime/NF-CSE-CIC-IDS2018-v2

The NF‑CSE‑CIC‑IDS2018‑v2 dataset is a NetFlow version derived from the original CSE‑CIC‑IDS2018 pcaps, intended for network intrusion detection systems. It includes 18,893,708 flow records, of which 2,258,141 (11.95 %) are attack samples and 16,635,567 (88.05 %) are benign. The dataset is stratified by attack type and split into training (95 %) and testing (5 %) sets. Features include source/destination IPs, ports, protocol, byte/packet counts, flow duration, and many derived statistics. ## Dataset Structure - **Classes**: Benign, BruteForce, Bot, DoS, DDoS, Infiltration, Web Attacks, etc. - **Feature List**: Includes fields such as IPV4_SRC_ADDR, IPV4_DST_ADDR, L4_SRC_PORT, PROTOCOL, IN_BYTES, OUT_BYTES, FLOW_DURATION_MILLISECONDS, TCP_FLAGS, and many others. - **Splits**: Train (≈17.9 M samples), Test (≈0.94 M samples). The dataset is publicly available for academic research; commercial use requires author permission.

Updated 5/24/2024
hugging_face

Description

Dataset Description

NF‑CSE‑CIDS2018‑v2 is a NetFlow dataset generated from the original CSE‑CIC‑IDS2018 pcaps. It contains 18,893,708 flows, with 11.95 % attacks and 88.05 % benign traffic. The data are split 95 %/5 % into training and test sets and include features such as IP addresses, ports, protocol types, byte/packet counts, flow duration, TCP flags, and various derived statistics.

Class Distribution

ClassCount
Benign7,373,198
BruteForce287,597
Bot15,683
DoS269,361
DDoS380,096
Infiltration62,072
Web Attacks4,394

(The table continues with additional classes.)

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Topics

Cybersecurity
Intrusion Detection

Source

Organization: hugging_face

Created: Unknown

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