ACS MILCOM 2016 Datasets

The datasets generated for the Applied Communication Sciences' MILCOM 2016 paper โ€œFour Labeled Datasets to Enable Reproducible Cyber Researchโ€ are available using the links below.

Please cite the following paper when referencing these datasets:
T. Bowen, A. Poylisher, C. Serban, R. Chadha, C. J. Chiang, L. Marvel. โ€œEnabling Reproducible Cyber Research โ€“ Four Labeled Datasetsโ€. IEEE MILCOM 2016.

File Name Size Description MD5
Datasets_A-E_Descriptions.pdf ย ย 2M Full Dataset description document acdaff8babef45780e486401b08f4cf0
dataSetAv1.7z 842M ACS pseudo botnet - download 8729b9ad158a749af496dd0f408e672f
dataSetAv2.7z ย 33G ACS pseudo botnet - download ad7730b833c9e98968a515d320844d7d
dataSetBv1.7z ย ย 7G ACS pseudo botnet - download 82cc959c61a0a5190618d51d957ffdd7
dataSetBv2.7z ย 34G ACS pseudo botnet - download 5c2faafcb45d2e01941f92987cca1d5a
dataSetCv1.7z ย 13G ACS pseudo botnet - website af2a2c7b5afef45161f853ad9ed7791a
dataSetCv2.7z ย 71G ACS pseudo botnet - website 12dc1aecec9749389c223f14cb52771c
dataSetDLamp.7z ย 22G ACS pseudo botnet - LAMP variant 433a896826279863b881282b69c064d3
dataSetDNJS.7z ย 41G ACS pseudo botnet - Node.js variant 02ee78a80b67b50931713e87298710f5
dataSetEAggregator.7z ย 44G Aggregator Attack 5ca643a1adfbd481173017a01bc381dc
dataSetEBatteryDrain.7z ย 10G Battery Drain Attack 87f54dae6e99d74aa9727b03064abee6
dataSetESlowloris.7z ย 42G Slow Loris Attack 794abd20332f20dc325b6c354d8f2d2f
dataSetESynFlood.7z ย 29G Syn Flood Attack 5f212841d6bc6948b2b04c68f5699b6b
deliveredLabels.7z ย 74M Data Set Labels c1c2c60a9d84bbef932d983148775421
utilities.7z 6174 Dataset Utilities 38a008a0c42928bdad52bd3eba34355e

MILCOM 2016 Logo

The ACS MILCOM 2016 dataset was originally linked from here:
https://cybervan.appcomsci.com:9000/datasets