On the public citation graph

https://doi.org/10.2139/ssrn.3949786

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.future.2021.07.015openalex-extracted
Deep transfer learning framework for the identification of malicious activities to combat cyberattack
inferredcites →https://doi.org/10.1109/ijcnn.2015.7280818openalex-extracted
A study on association rule mining of darknet big data
inferredcites →https://doi.org/10.1109/mocast52088.2021.9493386openalex-extracted
Darknet Traffic Classification using Machine Learning Techniques
inferredcites →https://doi.org/10.1145/3308560.3316502openalex-extracted
Characterizing Activity on the Deep and Dark Web
inferredcites →https://doi.org/10.1145/3322645.3322691openalex-extracted
Classification of Illegal Activities on the Dark Web
inferredcites →https://doi.org/10.23919/cycon.2019.8756845openalex-extracted
BlackWidow: Monitoring the Dark Web for Cyber Security Information

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1109/access.2024.3489020openalex-snapshot
Ensemble Voting for Enhanced Robustness in DarkNet Traffic Detection
inferred← citeshttps://doi.org/10.1109/cisct62494.2024.11134199openalex-snapshot
Genetic Algorithm Based Feature Optimization for Enhanced Darknet Traffic Analysis
inferred← citeshttps://doi.org/10.1109/iraset64571.2025.11008275openalex-snapshot
Enhancing DarkWebActivities Classification Using Embedding Methods
inferred← citeshttps://doi.org/10.54392/irjmt24321openalex-snapshot
Botnet Attack Detection in IoT Devices using Ensemble Classifiers with Reduced Feature Space
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