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1 to 10 of 11 Results

ShIOEnv_40cmd_7x10K May 16, 2025 - Jarrod Ragsdale Dataverse Ragsdale, Jarrod, 2025, "ShIOEnv_40cmd_7x10K", https://doi.org/10.7910/DVN/BWUIOS, Harvard Dataverse, V1 Datasets of Linux command inputs and their observed execution behaviors collected from the ShIOEnv environment for 40 utilities. Each dataset is curated using different methods of argument construction from a defined context-free grammar (CFG): unconstrained random truncated (UCRT) : randomly select productions from the full set of productions, tru...
Replication Data for: On Early Detection of Anomalous Network Flows Aug 8, 2024 - Garett Fox Dataverse Fox, Garett; Boppana, Rajendra V., 2023, "Replication Data for: On Early Detection of Anomalous Network Flows", https://doi.org/10.7910/DVN/L9YDYN, Harvard Dataverse, V2 Replication data for analyses using various ML and DL models.
5_HPC_8_IO_Events_100ms Jul 4, 2024 - 5_HPC_8_IO_Events_100ms Thummapudi, Kumar; Boppana, Rajendra; Palden, Lama, 2024, "5_HPC_8_IO_Events_100ms", https://doi.org/10.7910/DVN/OFJLA1, Harvard Dataverse, V1, UNF:6:w/qwIXnUC7wNRrISpieDUg== [fileUNF] The data is related to the paper titled "Towards Live Detection of Ransomware Attacks"
Datasets Used for Research on Evaluating Few-Shot Learning Generative Honeypots in a Live Deployment Jun 25, 2024 - Jarrod Ragsdale Dataverse Ragsdale, Jarrod, 2024, "Datasets Used for Research on Evaluating Few-Shot Learning Generative Honeypots in a Live Deployment", https://doi.org/10.7910/DVN/UE8IXF, Harvard Dataverse, V1, UNF:6:lRFaFZGyiTNDIozVBJ/VCw== [fileUNF] Log files and parsed datapoints from a live deployment of generative honeypots over a 2-week period used for evaluating deception and clustering attacks.
Replication Data for: Improving Interaction and Deception in Low-Risk Honeypots Using Large Language Models Sep 26, 2023 - Jarrod Ragsdale Dataverse Ragsdale, Jarrod, 2023, "Replication Data for: Improving Interaction and Deception in Low-Risk Honeypots Using Large Language Models", https://doi.org/10.7910/DVN/0DHIPX, Harvard Dataverse, V2, UNF:6:5yfafHYPpcsYxDTXtqlT6A== [fileUNF] Replication data for calculating similarity to real systems and for crafting extended sessions for LLM-based honeypots. Disclaimer: This data was generated between 3/2023 - 05/2023. The OpenAI GPT models used may have been updated since then, altering resulting outputs for replication.
Scripts May 18, 2023 - 5_Events_7_Rounds Thummapudi, Kumar, 2023, "Scripts", https://doi.org/10.7910/DVN/HSX6CS, Harvard Dataverse, V1 This folder contains the python scripts
Replication Data for: Detection of Malicious Network Flows with Low Preprocessing Overhead Nov 4, 2022 - Garett Fox Dataverse Fox, Garett; Boppana, Rajendra V., 2022, "Replication Data for: Detection of Malicious Network Flows with Low Preprocessing Overhead", https://doi.org/10.7910/DVN/O5A0ZV, Harvard Dataverse, V1, UNF:6:MRPXt+aOJPYrdZ99Qz0Cag== [fileUNF] This dataset consists of the randomly selected data samples used in each run of the analyses used in the referenced paper. The .pcap files are the raw packets. Each individual packet or pair of packets within the same flow 5-tuple in the .pcap files correspond to one entry in the .csv file with the same name, and each entry in a .csv file is one da...
IO_5Events_7Rounds Oct 10, 2022 - 5_Events_7_Rounds 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.
HPC_5Events_7Rounds Oct 10, 2022 - 5_Events_7_Rounds Thummapudi, Kumar; Boppana, Rajendra; Lama, Palden, 2022, "HPC_5Events_7Rounds", https://doi.org/10.7910/DVN/YAYW0J, Harvard Dataverse, V1, UNF:6:ZVeb3fJx5K/4pK2QG9F02w== [fileUNF] This set is a collection of 5 HPC 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.
HPC_41Events_5Rounds Oct 10, 2022 - 41_Events_5_Rounds Thummapudi, Kumar; Boppana, Rajendra; Lama, Palden, 2022, "HPC_41Events_5Rounds", https://doi.org/10.7910/DVN/MA5UPP, Harvard Dataverse, V1, UNF:6:CWH8oAKJnnA6Cu27PxxQaw== [fileUNF] This set is a collection of 41 HPC events. We collected the data on 6 different VM loads, 5 rounds each for 22 ransomware, 3 benignware, 1 dry run. Total number of traces in this dataset includes: 6x5x26=780. This data is used for feature selection (reducing from 41 to 5 events). Go through the README file in this directory for full details.

ShIOEnv_40cmd_7x10K

May 16, 2025 - Jarrod Ragsdale Dataverse

Ragsdale, Jarrod, 2025, "ShIOEnv_40cmd_7x10K", https://doi.org/10.7910/DVN/BWUIOS, Harvard Dataverse, V1

Datasets of Linux command inputs and their observed execution behaviors collected from the ShIOEnv environment for 40 utilities. Each dataset is curated using different methods of argument construction from a defined context-free grammar (CFG): unconstrained random truncated (UCRT) : randomly select productions from the full set of productions, tru...

Replication Data for: On Early Detection of Anomalous Network Flows

Aug 8, 2024 - Garett Fox Dataverse

Fox, Garett; Boppana, Rajendra V., 2023, "Replication Data for: On Early Detection of Anomalous Network Flows", https://doi.org/10.7910/DVN/L9YDYN, Harvard Dataverse, V2

Replication data for analyses using various ML and DL models.

5_HPC_8_IO_Events_100ms

Jul 4, 2024 - 5_HPC_8_IO_Events_100ms

Thummapudi, Kumar; Boppana, Rajendra; Palden, Lama, 2024, "5_HPC_8_IO_Events_100ms", https://doi.org/10.7910/DVN/OFJLA1, Harvard Dataverse, V1, UNF:6:w/qwIXnUC7wNRrISpieDUg== [fileUNF]

The data is related to the paper titled "Towards Live Detection of Ransomware Attacks"

Datasets Used for Research on Evaluating Few-Shot Learning Generative Honeypots in a Live Deployment

Jun 25, 2024 - Jarrod Ragsdale Dataverse

Ragsdale, Jarrod, 2024, "Datasets Used for Research on Evaluating Few-Shot Learning Generative Honeypots in a Live Deployment", https://doi.org/10.7910/DVN/UE8IXF, Harvard Dataverse, V1, UNF:6:lRFaFZGyiTNDIozVBJ/VCw== [fileUNF]

Log files and parsed datapoints from a live deployment of generative honeypots over a 2-week period used for evaluating deception and clustering attacks.

Replication Data for: Improving Interaction and Deception in Low-Risk Honeypots Using Large Language Models

Sep 26, 2023 - Jarrod Ragsdale Dataverse

Ragsdale, Jarrod, 2023, "Replication Data for: Improving Interaction and Deception in Low-Risk Honeypots Using Large Language Models", https://doi.org/10.7910/DVN/0DHIPX, Harvard Dataverse, V2, UNF:6:5yfafHYPpcsYxDTXtqlT6A== [fileUNF]

Replication data for calculating similarity to real systems and for crafting extended sessions for LLM-based honeypots. Disclaimer: This data was generated between 3/2023 - 05/2023. The OpenAI GPT models used may have been updated since then, altering resulting outputs for replication.

Scripts

May 18, 2023 - 5_Events_7_Rounds

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

This folder contains the python scripts

Replication Data for: Detection of Malicious Network Flows with Low Preprocessing Overhead

Nov 4, 2022 - Garett Fox Dataverse

Fox, Garett; Boppana, Rajendra V., 2022, "Replication Data for: Detection of Malicious Network Flows with Low Preprocessing Overhead", https://doi.org/10.7910/DVN/O5A0ZV, Harvard Dataverse, V1, UNF:6:MRPXt+aOJPYrdZ99Qz0Cag== [fileUNF]

This dataset consists of the randomly selected data samples used in each run of the analyses used in the referenced paper. The .pcap files are the raw packets. Each individual packet or pair of packets within the same flow 5-tuple in the .pcap files correspond to one entry in the .csv file with the same name, and each entry in a .csv file is one da...

IO_5Events_7Rounds

Oct 10, 2022 - 5_Events_7_Rounds

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.

HPC_5Events_7Rounds

Oct 10, 2022 - 5_Events_7_Rounds

Thummapudi, Kumar; Boppana, Rajendra; Lama, Palden, 2022, "HPC_5Events_7Rounds", https://doi.org/10.7910/DVN/YAYW0J, Harvard Dataverse, V1, UNF:6:ZVeb3fJx5K/4pK2QG9F02w== [fileUNF]

This set is a collection of 5 HPC 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.

HPC_41Events_5Rounds

Oct 10, 2022 - 41_Events_5_Rounds

Thummapudi, Kumar; Boppana, Rajendra; Lama, Palden, 2022, "HPC_41Events_5Rounds", https://doi.org/10.7910/DVN/MA5UPP, Harvard Dataverse, V1, UNF:6:CWH8oAKJnnA6Cu27PxxQaw== [fileUNF]

This set is a collection of 41 HPC events. We collected the data on 6 different VM loads, 5 rounds each for 22 ransomware, 3 benignware, 1 dry run. Total number of traces in this dataset includes: 6x5x26=780. This data is used for feature selection (reducing from 41 to 5 events). Go through the README file in this directory for full details.

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