Dataset Details: UNIBS

Dataset Information

Serial Number: 12

Year: 2009

Kind of Traffic: Real

Publicly Available: Yes

Count of Records: 79K flows

Features Count:

CITE

No. of citations: 272

Attack Type: N/A

Download Links: http://netweb.ing.unibs.it/~ntw/tools/traces/

Abstract: The UNIBS 2009 dataset, like LBNL, was not designed for detection of intrusion. It is still added to the list because it is mentioned in other works. To identify applications network traffic based on their flow (like Skype, mail clients or web browsers) Gringoli et al. used the dataset. UNIBS 2009 includes approximately “79,000” flows that do not exhibit malicious behaviour. Network traffic is not classified as attack or normal because the labels only define the flow's application protocols. As a result, the property label is set to no in the categorization scheme. The dataset is freely accessible to the public. Table 9 shows the work who used UNIBS dataset.

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