5_Events_7_Rounds

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 2,191 Results

Scripts May 18, 2023 Thummapudi, Kumar, 2023, "Scripts", https://doi.org/10.7910/DVN/HSX6CS, Harvard Dataverse, V1 This folder contains the python scripts
ml_model.py May 18, 2023 - Scripts Python Source Code - 5.5 KB - MD5: 6bcfd737dfaa412bef038649c53bd8c5
prepare_data.py May 18, 2023 - Scripts Python Source Code - 4.2 KB - MD5: e5e49f9e9233005986ae398c004efdb4
IO_5Events_7Rounds Oct 10, 2022 Thummapudi, Kumar; Boppana, Rajendra; Lama, Palden, 2022, "IO_5Events_7Rounds", https://doi.org/10.7910/DVN/R9FYPL, Harvard Dataverse, V1, UNF:6:3uX/6QvV3Yos6oR897gZWg== [fileUNF] This set is a collection of 8 block I/O events. We collected the data on 6 different VM loads, 7 rounds each for 22 ransomware, 3 benignware, 1 dry run. Total number of traces in this dataset includes: 6x7x26=1092. Go through the README file in this directory for full details.
00_README Oct 10, 2022 - IO_5Events_7Rounds Plain Text - 5.3 KB - MD5: 0a36ed3e3fa3ca0504b515f43b0a338e
5MilliSeconds_RP5.0_0_1_03bb_1.tab Oct 10, 2022 - IO_5Events_7Rounds Tabular Data - 146.5 KB - 8 Variables, 6000 Observations - UNF:6:8omnXI2Ocw3zWZiuCILHog==
5MilliSeconds_RP5.0_0_1_0a93_1.tab Oct 10, 2022 - IO_5Events_7Rounds Tabular Data - 128.4 KB - 8 Variables, 6000 Observations - UNF:6:vVEniBX+UXrbmi4guSg6cQ==
5MilliSeconds_RP5.0_0_1_133b_1.tab Oct 10, 2022 - IO_5Events_7Rounds Tabular Data - 143.0 KB - 8 Variables, 6000 Observations - UNF:6:KZu6BEOHE8rcp5GN/Vs76g==
5MilliSeconds_RP5.0_0_1_17d1_1.tab Oct 10, 2022 - IO_5Events_7Rounds Tabular Data - 143.4 KB - 8 Variables, 6000 Observations - UNF:6:mjIby6YymlCuO1SHMvOoNg==
5MilliSeconds_RP5.0_0_1_3cff_1.tab Oct 10, 2022 - IO_5Events_7Rounds Tabular Data - 141.9 KB - 8 Variables, 6000 Observations - UNF:6:2Uij1r8wBcCsqv3Ev+enEA==

Scripts

May 18, 2023

Thummapudi, Kumar, 2023, "Scripts", https://doi.org/10.7910/DVN/HSX6CS, Harvard Dataverse, V1

This folder contains the python scripts

ml_model.py

May 18, 2023 - Scripts

Python Source Code - 5.5 KB -

prepare_data.py

May 18, 2023 - Scripts

Python Source Code - 4.2 KB -

IO_5Events_7Rounds

Oct 10, 2022

Thummapudi, Kumar; Boppana, Rajendra; Lama, Palden, 2022, "IO_5Events_7Rounds", https://doi.org/10.7910/DVN/R9FYPL, Harvard Dataverse, V1, UNF:6:3uX/6QvV3Yos6oR897gZWg== [fileUNF]

This set is a collection of 8 block I/O events. We collected the data on 6 different VM loads, 7 rounds each for 22 ransomware, 3 benignware, 1 dry run. Total number of traces in this dataset includes: 6x7x26=1092. Go through the README file in this directory for full details.

00_README