On the public citation graph

A Botnet Detecting Infrastructure Using a Beneficial Botnet

0 signed · 13 inferred · view as graph

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/10.1007/978-3-319-05717-0_9openalex-snapshot

Experimental Implementation of a M2M System Controlled by a Wiki Network

inferredcites →https://doi.org/10.1016/s1389-1286(00)00136-5openalex-snapshot

Intrusion detection using autonomous agents

inferredcites →https://doi.org/10.1080/10618600.1996.10474713openalex-snapshot

R: A Language for Data Analysis and Graphics

inferredcites →https://doi.org/10.1109/comst.2016.2548426openalex-snapshot

A Survey of Man In The Middle Attacks

inferredcites →https://doi.org/10.1109/iiai-aai.2013.48openalex-snapshot

An Inter-Wiki Page Data Processor for a M2M System

inferredcites →https://doi.org/10.1145/2382456.2382477openalex-snapshot

Capturing malicious bots using a beneficial bot and wiki

inferredcites →https://doi.org/10.1145/3123458.3123461openalex-snapshot

Monitoring Servers, With a Little Help from my Bots

inferredcites →https://doi.org/10.2197/ipsjjip.21.237openalex-snapshot

A Malicious Bot Capturing System using a Beneficial Bot and Wiki

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.3142105openalex-extracted

Awakening Global Governments: An International Survey of Internet of Things Regulation

inferred← citeshttps://doi.org/10.1109/comst.2024.3382470openalex-snapshot

Survey on Unified Threat Management (UTM) Systems for Home Networks

inferred← citeshttps://doi.org/10.1109/iiai-aai50415.2020.00022openalex-snapshot

Development of an Intrusion Detection System Using a Botnet with the R Statistical Computing System

inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00084openalex-snapshot

Honeyeye: A Network Traffic Collection Framework for Distributed ICS Honeynets

inferred← citeshttps://doi.org/10.1186/s13635-024-00169-0openalex-snapshot

Peer-to-peer botnets: exploring behavioural characteristics and machine/deep learning-based detection

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