This is a traffic data repository maintained by the MAWI Working Group of the WIDE Project where traffic traces are collected at some sampling points everyday.Ĭluster of European Projects aimed at Monitoring and Measurement. The dataset includes a wide variety of intrusions simulated in a military network environment. The Cyber Systems and Technology Group of MIT Lincoln Laboratory, under DARPA ITO and AFRL/SNHS sponsorship, has collected and distributed the first standard corpora of intrusion detection datasets. SWM Review dataset contains reviews under the entertainment category from a popular online software marketplace.ĭata Science Testbed for Security ResearchersĬollection and sharing site of data for scientific analysis of Internet traffic, topology, routing, performance, and security-related events. Reviews of various businesses from for academic challenge. Zip code wise reviews from for NY, NJ, VT, CT, and PA. Reviews from for Chicago Hotels and Restaurants. Numenta Anomaly Benchmark, a benchmark for streaming anomaly detection where sensor provided time-series data is utilized.Īdversarial/Attack scenario and security datasets Dataset This dataset is released by Yahoo Labs to detect unusual traffic on Yahoo servers. The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.īetween 7 observations per series at regular interval Time series point datasets (Multivariate/Univariate) Dataset Timestamped text, network, and transaction data from GAStech. Simulated cyber challenge network traffic flow data.īank of Money Regional Office Network Operations Forensics.īig Marketing computer network flow data. Įntity co-mention network from twitter related to 2014 Soccer World Cup.Įntity co-mention network from twitter related to terrorism and domestic security.Įntity co-mention graph for New York Times News Corpus over 7.5 years. Time series graph datasets for event detection DatasetĮmail communication network over time in Enron Inc.ĭata of 97 faculty, student, and staff at MIT. attack scenario.Ĭrowded scene video data for anomaly detection: Video clips acquired with camera. ![]() Time series point datasets (Multivariate/Univariate): Temporal point data where each point has one or more attributes and the attributes change over time.Īdversarial/Attack scenario and security datasets: Opinion fraud detection data from online review system. Time series graph datasets for event detection: Temporal graph data where the graph changes dynamically over time in which new nodes and edges arrive or existing nodes and edges disappear. ![]() Multi-dimensional point datasets: There is one record per data point, and each record contains several attributes. As such, we arrange the datasets based on their types into different tables in the order as listed below. Our focus is to provide datasets from different domains and present them under a single umbrella for the research community. In ODDS, we openly provide access to a large collection of outlier detection datasets with ground truth (if available).
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