Datasets:

19kmunz
/

iot-23-preprocessed

Tasks:

Question Answering

Tabular Classification

Languages: English

Tags: code

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train · 819k rows

id.orig_p int64 0 65.5k	id.resp_p int64 0 65.5k	proto stringclasses 3 values	service stringclasses 6 values	duration float64 0 78.8k ⌀	conn_state stringclasses 13 values	history stringlengths 1 12 ⌀	orig_pkts int64 0 66M	orig_ip_bytes int64 0 1.91B	resp_pkts int64 0 239k	resp_ip_bytes int64 0 350M	label stringclasses 2 values
17,576	8,081	tcp	null	0.000003	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000002	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000002	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000006	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000222	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000208	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000006	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000001	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000005	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000002	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000003	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000005	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000005	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000001	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000192	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000168	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000182	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000001	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000189	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000191	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000178	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.0002	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000003	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000177	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000186	S0	S	2	80	0	0	Malicious
18,088	8,080	tcp	null	0.000002	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000002	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000006	S0	S	2	80	0	0	Malicious
41,722	666	tcp	null	3.124232	S0	S	6	360	0	0	Malicious
18,088	80	tcp	null	0.000005	S0	S	2	80	0	0	Malicious
18,088	8,080	tcp	null	0.000001	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000001	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000003	S0	S	2	80	0	0	Malicious
18,088	8,080	tcp	null	0.000005	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000223	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000224	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000227	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.392533	REJ	Sr	2	80	2	80	Benign
17,832	37,215	tcp	null	0.861521	REJ	Sr	2	80	2	80	Malicious
17,576	8,081	tcp	null	0.000013	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.00019	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000187	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000006	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000199	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000198	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000175	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000215	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000203	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000214	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000181	S0	S	2	80	0	0	Malicious
18,088	8,080	tcp	null	0.00022	S0	S	2	80	0	0	Malicious
18,088	8,080	tcp	null	0.000211	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000215	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.00023	S0	S	2	80	0	0	Malicious
18,088	8,080	tcp	null	0.000006	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000016	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000207	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000191	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000185	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000199	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000175	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000178	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000176	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.0002	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000192	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.00017	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000014	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000197	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000206	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000196	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000192	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000186	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000177	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000188	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000196	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000217	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000215	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000207	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000232	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000214	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000173	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000176	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000178	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000206	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000208	S0	S	2	80	0	0	Malicious
18,088	80	tcp	null	0.000231	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.00023	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000214	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000201	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000205	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000199	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000206	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000171	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000194	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000202	S0	S	2	80	0	0	Malicious
17,576	8,081	tcp	null	0.000174	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000176	S0	S	2	80	0	0	Malicious
18,344	52,869	tcp	null	0.000194	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000227	S0	S	2	80	0	0	Malicious
17,832	37,215	tcp	null	0.000212	S0	S	2	80	0	0	Malicious

End of preview. Expand in Dataset Viewer.

Aposemat IoT-23 - a Labeled Dataset with Malcious and Benign Iot Network Traffic

Homepage: https://www.stratosphereips.org/datasets-iot23

This dataset contains a subset of the data from 20 captures of Malcious network traffic and 3 captures from live Benign Traffic on Internet of Things (IoT) devices. Created by Sebastian Garcia, Agustin Parmisano, & Maria Jose Erquiaga at the Avast AIC laboratory with the funding of Avast Software, this dataset is one of the best in the field for Intrusion Detection Systems (IDS) for IoT Devices (Comparative Analysis of IoT Botnet Datasets).

The selection of the subset was determined by Aqeel Ahmed on Kaggle and contains 6 million samples. The Kaggle upload, nor this one, have employed data balancing. The Kaggle card does not contain methodology to understand what criteria was used to select these samples. If you want ensure best practice, use this dataset to mock-up processing the data into a model before using the full dataset with data balancing. This will require processing the 8GB of conn.log.labelled files.

This dataset only notes if the data is Malcious or Benign. The original dataset labels the type of malcious traffic aswell. This means this processing of the dataset is only suited for binary classification.

Feature information:

All features originate from the Zeek processing performed by the dataset creators. See notes here for caviats for each column.

Expand for feature names, descriptions, and datatypes

Name: id.orig_p
Description: The originator’s port number.
Data type: int64 - uint64 in original

Name: id.resp_p
Description: The responder’s port number.
Data type: int64 - uint64 in original

Name: proto
Description: The transport layer protocol of the connection.
Data type: string - enum(unknown_transport, tcp, udp, icmp). Only TCP and UDP in subset

Name: service
Description: An identification of an application protocol being sent over the connection.
Data type: optional string

Name: duration
Description: How long the connection lasted.
Data type: optional float64 - time interval

Name: orig_bytes
Description: The number of payload bytes the originator sent.
Data type: optional int64 - uint64 in original

Name: resp_bytes
Description:The number of payload bytes the responder sent.
Data type: optional int64 - uint64 in original

Name: conn_state
Description: Value indicating connection state. (S0, S1, SF, REJ, S2, S3, RSTO, RSTR, RSTOS0, RSTRH, SH, SHR, OTH)
Data type: optional string

Name: missed_bytes
Description: Indicates the number of bytes missed in content gaps, which is representative of packet loss.
Data type: optional int64 - uint64 in original. default = 0

Name: history
Description: Records the state history of connections as a string of letters.
Data type: optional string

Name: orig_pkts
Description: Number of packets that the originator sent.
Data type: optional int64 - uint64 in original

Name: orig_ip_bytes
Description: Number of IP level bytes that the originator sent.
Data type: optional int64 - uint64 in original

Name: resp_pkts
Description: Number of packets that the responder sent.
Data type: optional int64 - uint64 in original

Name: resp_ip_bytes
Description: Number of IP level bytes that the responder sent.
Data type: optional int64 - uint64 in original

Name: label
Description: Specifies if data point is benign or some form of malicious. See the dataset creators paper for descriptions of attack types
Data type: string - enum(Malicious, Benign)

NOTE: ts, uid, id.orig_h, id.resp_h have been removed as they are dataset specific. Models should not be trained with specific timestamps or IP addresses (id.orig_h) using this dataset, as that can lead to over fitting to dataset specific times and addresses.
Further local_orig, local_resp have been removed as they are null in all rows, so they are useless for training.

Citation

If you are using this dataset for your research, please reference it as “Sebastian Garcia, Agustin Parmisano, & Maria Jose Erquiaga. (2020). IoT-23: A labeled dataset with malicious and benign IoT network traffic (Version 1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4743746”

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Size of downloaded dataset files:

11.8 MB

Size of the auto-converted Parquet files:

11.8 MB

Number of rows:

819,024