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DGASensor

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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/10.1007/978-3-319-08509-8_11openalex-snapshot

Phoenix: DGA-Based Botnet Tracking and Intelligence

inferredcites →https://doi.org/10.1007/978-3-642-31909-9_26openalex-snapshot

Winning with DNS Failures: Strategies for Faster Botnet Detection

inferredcites →https://doi.org/10.1016/j.comnet.2015.12.008openalex-snapshot

PsyBoG: A scalable botnet detection method for large-scale DNS traffic

inferredcites →https://doi.org/10.1109/iccke.2013.6682860openalex-snapshot

A novel reputation system to detect DGA-based botnets

inferredcites →https://doi.org/10.1145/1621890.1621893openalex-snapshot

BotGAD

inferredcites →https://doi.org/10.1145/1879141.1879148openalex-snapshot

Detecting algorithmically generated malicious domain names

inferredcites →https://doi.org/10.1145/2517312.2517316openalex-snapshot

A close look on n -grams in intrusion detection

inferredcites →https://doi.org/10.1145/2584679openalex-snapshot

Exposure

inferredcites →https://doi.org/10.1145/2666652.2666659openalex-snapshot

Detecting Malicious Domains via Graph Inference

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.4200005openalex-extracted

Ci_Gru: An Efficient Dga Botnet Classification Model Based on Attention Recurrence Plot

inferred← citeshttps://doi.org/10.1007/978-3-030-01950-1_3openalex-snapshot

LagProber: Detecting DGA-Based Malware by Using Query Time Lag of Non-existent Domains

inferred← citeshttps://doi.org/10.1007/978-981-13-6031-2_21openalex-snapshot

A Review of Botnet Detection Approaches Based on DNS Traffic Analysis

inferred← citeshttps://doi.org/10.1007/978-981-15-5285-4_29openalex-snapshot

Classification of DGA Botnet Detection Techniques Based on DNS Traffic and Parallel Detection Technique for DGA Botnet

inferred← citeshttps://doi.org/10.1007/s00500-018-03703-8openalex-snapshot

Scalable detection of botnets based on DGA

inferred← citeshttps://doi.org/10.1007/s10922-020-09554-9openalex-snapshot

A Two-Stream Network Based on Capsule Networks and Sliced Recurrent Neural Networks for DGA Botnet Detection

inferred← citeshttps://doi.org/10.1109/dsn58367.2023.00050openalex-snapshot

IDTracker: Discovering Illicit Website Communities via Third-party Service IDs

inferred← citeshttps://doi.org/10.1109/icccn54977.2022.9868932openalex-snapshot

DGGCN: Dictionary based DGA detection method based on DomainGraph and GCN

inferred← citeshttps://doi.org/10.1109/icccnt.2018.8493722openalex-snapshot

BotScoop: Scalable Detection of DGA Based Botnets Using DNS Traffic

inferred← citeshttps://doi.org/10.1109/iccons.2018.8663082openalex-snapshot

Botnet Detection Techniques: A Review

inferred← citeshttps://doi.org/10.1109/iccsnt.2017.8343724openalex-snapshot

CODDULM: An approach for detecting C&C domains of DGA on passive DNS traffic

inferred← citeshttps://doi.org/10.1109/icin.2019.8685893openalex-snapshot

Toward Real-time Packet Classification for Preventing Malicious Traffic by Machine Learning

inferred← citeshttps://doi.org/10.1109/tnsm.2022.3164354openalex-snapshot

Demystifying the Transferability of Adversarial Attacks in Computer Networks

inferred← citeshttps://doi.org/10.1145/3339252.3339258openalex-snapshot

Detecting DGA domains with recurrent neural networks and side information

inferred← citeshttps://doi.org/10.1145/3340531.3416022openalex-snapshot

Helix

inferred← citeshttps://doi.org/10.7717/peerj-cs.640openalex-snapshot

Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic

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