Dataset Details: SSHCURE

Dataset Information

Serial Number: 25

Year: 2013

Kind of Traffic: Real

Publicly Available: Yes

Count of Records: 2.4GB flows

Features Count:

CITE

No. of citations: 88

Attack Type: SSH attacks

Download Links: Not Available

Abstract: For detecting SSH attacks, Hofstede et al proposes SSHCure tool. Two data sets (each for one month) were collected from a university of Twente’s campus network to assess their work in November and December 2013 and January and February 2014 respectively. The network has routable /16 IPV4 address block from which 25k addresses are actively used. The resulting data sets are accessible to the public and contain only SSH traffic. The authors gave additional log files based on host that could be used to determine whether or not SSH login attempts were successful, instead of labelling flow-based network traffic directly. The number of honeypots, servers, workstations and attacks in dataset1 are 13, 0, 0, 632 and in dataset2 are 0, 76, 4, 10716.

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