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Overview

LUFlow is an flow-based intrusion detection data set which contains a robust ground truth through correlation with threat intelligence services. LUFlow contains telemetry containing emerging attack vectors through the composition of honeypots within Lancaster University's address space. The labelling mechanism is autonomous, enabling the constant capture, labelling and publishing of telemetry to this repository. Flows which were unable to be determined as malicious, but are not part of the normal telemetry profile are labelled as outliers. These are included to encourage further analysis to discover the true intent behind their actions. Known normal traffic is also captured from production services, e.g. ssh and database traffic, and included in this data set.

This data set is constantly updated using the Citrus framework. This repository is structured into the year and month the telemetry was captured. For example, to find telemetry captured within September 2020, the folder 2020/09 is used.

Features

The telemetry is captured using Cisco's Joy tool. This tool records multiple measurements associated with flows. Features are engineered from these measurements, which are outlined below:

Name Description
src_ip The source IP address associated with the flow. This feature is anonymised to the corresponding Autonomous System
src_port The source port number associated with the flow.
dest_ip The destination IP address associated with the flow. The feature is also anonymised in the same manner as before.
dest_port The destination port number associated with the flow
protocol The protocol number associated with the flow. For example TCP is 6
bytes_in The number of bytes transmitted from source to destination
bytes_out The number of bytes transmitted from destination to source.
num_pkts_in The packet count from source to destination
num_pkts_out The packet count from destination to source
entropy The entropy in bits per byte of the data fields within the flow. This number ranges from 0 to 8.
total_entropy The total entropy in bytes over all of the bytes in the data fields of the flow
mean_ipt The mean of the inter-packet arrival times of the flow
time_start The start time of the flow in seconds since the epoch.
time_end The end time of the flow in seconds since the epoch
duration The flow duration time, with microsecond precision
label The label of the flow, as decided by Tangerine. Either benign, outlier, or malicious

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