Serial Number: 112
Year: 2023
Kind of Traffic: Simulated
Publicly Available: Yes
Count of Records: 27.5GB
Features Count: 75
No. of citations: 13
Attack Type: DoS, Mirai botnet, etc
Download Links: https://www.kaggle.com/datasets/daniaherzalla/tii-ssrc-23
Abstract: The TII-SSRC-23 dataset is a thorough compilation of network traffic patterns meticulously assembled to facilitate the development and research of Intrusion Detection Systems (IDS). Herzalla et al. introduced this dataset, accessible at kaggle. It adopts a dual structure, where one segment provides a tabular representation of extracted features in CSV format, and the other supplies raw network traffic data for each traffic type in PCAP files. With a total size of 27.5 GB in PCAP format, the dataset encompasses a diverse range of network scenarios, capturing both benign and malicious instances, featuring 32 traffic subtypes and 26 distinct attacks. Each subtype is enhanced with modification in traffic parameters, establishing it as a valuable resource for researchers in the field of machine learning. The traffic is divided into two main categories, distinguishing between benign and malicious, encompassing 8 traffic types (background, audio, text, bruteforce, video, DoS, Mirai botnet and information gathering), and includes 32 subtypes (26 malicious and 6 benign). Despite an observed imbalance favoring malicious samples, the dataset stands as a crucial asset for the advancement of machine learning research.