15 datasets found

The WSN-DS dataset is a collection of records for Wireless Sensor Networks (WSNs) with different attacking scenarios.

The proposed Adaptive Intrusion Detection and Prevention System (AIDPS) for Underwater Acoustic Sensor Networks (UW-ASNs) is a hybrid adaptive IDS and IPS system.

A dataset for malware detection in Grid computing is described. We show in addition the utilization of generative methods with Recurrent Neural Networks to improve the collected...

The KDD Cup 1999 dataset contains a set of instances that represent connections to a military computer network.

A survey on machine learning and deep learning methods for intrusion detection systems

The CICIDS2017 dataset is a state-of-the-art general cyber-security dataset including the most updated types of attacks (i.e., DoS, sniffing, brute-force, web-attacks, botnets,...

The Car-Hacking dataset contains nine features (i.e., CAN ID and the eight bits of the CAN message data field) and four types of attacks (i.e., DoS, fuzzy, gear spoofing, and...

The proposed ensemble IDS framework is constructed using XGBoost, LightGBM, and CatBoost, three advanced gradient-boosting ML methods.

The CICIDS2017 dataset was collected 2 years after the UNSW NB-15 data. The collection took place for a week. On each day attacks such as: Brute Force FTP, Brute Force SSH, DoS,...

The CIC-IDS2018 dataset contains labeled network activity data for benign and malicious behavior.

The KDD99 dataset is an updated version of the DARPA98 dataset, processed by the tcpdump portion.

The KDD Cup 1999 dataset is a popular benchmark and is widely used for evaluation of IDS systems.

The NSL-KDD dataset is a comprehensive collection of network traffic data containing both normal and various attack instances.

The NSL-KDD dataset is a network traffic dataset used for intrusion detection.

The UGRansome dataset is a publicly accessible dataset created in 2021 specifically designed to classify and understand ransomware.