Serial Number: 15
Year: 2010
Kind of Traffic: Simulated
Publicly Available: Yes
Count of Records: 14GB
Features Count: 86
No. of citations: 130
Attack Type: Spam, DDOS, etc
Download Links: Not Available
Abstract: Beigi et al. proposed the botnet dataset. The ISOT botnet dataset combines several publicly available malicious and non-malicious datasets (ISOT, ISCX 2012, CTU-13). Information regarding the behavioural pattern of the user as well as botnets are components of the resulting dataset. The Botnet data set is divided into “8.5” GB test data having 16 types of botnets and “5.3” GB training data having 7 types of botnets, both in packet-based format. In the training set, the different types of botnet include Virut, Zeus, Zeus control (C&C), SMTP Spam, NSIS, Rbot, and Neris. In the testing set the different types of botnet include Sogou, Neris, Menti, Rbot, etc. In terms of botnet topologies, they can be randomized, centralized, or distributed (e.g., P2P). Table 14 shows the work who used Botnet dataset.