22 datasets found

The dataset consists of sequences of packet sizes, payload sizes, and inter-arrival times generated from the TLS handshake.

The dataset consists of 24 raw statistical features used for training and validating the standard Random Forest classifier.

The dataset consists of publicly available HTTPs data gathered by crawling top accessed HTTPs websites twice a day on both Google Chrome and Mozilla Firefox.

Dataset used for training and testing the CAMLPAD system

The dataset used in this paper is the Botnet dataset, a collection of network traffic data.

The LYCOS-IDS2017 dataset is a network traffic dataset used for DDoS attack detection. It contains five days' worth of network flow entries, each comprising 83 features.

The dataset used in this paper for anomaly multimedia traffic identification in graynet.

The CICIDS-DDoS dataset is a real-time network traffic dataset.

The UNSW-NB 15 dataset is a hybrid dataset of real-world normal activities and synthetic contemporary attack behaviors.

The CICIDS 2018 dataset is a real-time network traffic dataset.

The dataset used in this paper is the KDDCUP99 dataset, which contains network traffic data from a military network.

The Colosseum dataset is a dataset of network traffic flow level, which is used to train and test the traffic steering algorithm.

The Measuring Broadband America Dataset contains network statistics (including network traffic counters) collected by United States Federal Communications Commission from homes...

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 RIPE-Atlas dataset is a collection of network traffic traces from various locations around the world.

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 MIRAI-RGU dataset includes normal traffic from Internet of the Things (IoT) Internet Protocol (IP) cameras and ten classes of malicious traffic from the Mirai botnet malware,...

The USTC-TFC dataset includes ten classes of normal traffic and ten classes of malware traffic from public websites, which were collected from a real network environment from 2011...

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...