13 datasets found

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 dataset used in this paper is a standardized malware dataset containing multiple generations of malware.

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

The ISCX-IDS dataset is a realistic-like dataset originally proposed for the development of enhanced intrusion detection and anomaly-based approaches. The network traffic was...

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.