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1 to 3 of 3 Results

ShIOEnv_40cmd_7x10K May 16, 2025 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...
Datasets Used for Research on Evaluating Few-Shot Learning Generative Honeypots in a Live Deployment Jun 25, 2024 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 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.

ShIOEnv_40cmd_7x10K

May 16, 2025

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...

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

Jun 25, 2024

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

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.

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