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Andreas Wagner boosted
Seán Fobbe
Seán Fobbe
@seanfobbe@fediscience.org  ·  activity timestamp yesterday

🔷 About the Dataset 🔷

The Corpus of Resolutions: UN Security Council (CR-UNSC) collects and presents for the first time in human and machine-readable form all resolutions, drafts, and meeting records of the UN Security Council, including detailed metadata, as published by the UN Digital Library and revised by ourselves.

See this blog post introducing the dataset for an overview: https://seanfobbe.com/posts/2024-05-06_new-dataset-corpus-of-resolutions-un-security-council/

We recently published a pre-print entitled "Words of Power: Introducing a Comprehensive Corpus of UN Security Council Resolutions" (Zenodo 2025) describing the collection, revision and full creation process of the corpus: https://zenodo.org/records/15191558/files/Fobbe-Gasbarri-Ridi_2025_Words-of-Power-Introducing-UN-Security-Council-Resolutions-Corpus.pdf?download=1

#UnitedNations #SecurityCouncil #InternationalLaw #NetworkAnalysis #CitationAnalysis

#LawFedi #OpenScience #Law #UnitedNations #InternationalLaw #Histodons #DigitalHumanities @histodons @law @politicalscience @rstats

https://zenodo.org/records/15191558/files/Fobbe-Gasbarri-Ridi_2025_Words-of-Power-Introducing-UN-Security-Council-Resolutions-Corpus.pdf?download=1

[New Dataset] The Corpus of Resolutions: UN Security Council

Info [Open Access] Corpus of Resolutions: UN Security Council (CR-UNSC) (Zenodo 2024) [Open Access] Source Code for the ‘Corpus of Resolutions: UN Security Council’ (Zenodo 2024) [Open Access] Slides and Materials for the ‘Corpus of Resolutions: UN Security Council’ Launch Event Overview Link to heading A new dataset is online! And what a dataset it is! This is joint work with my colleagues Lorenzo Gasbarri (Scuola Superiore Sant’Anna) and Niccolò Ridi (King’s College London) and together we proudly present:
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Seán Fobbe
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Seán Fobbe
Seán Fobbe
@seanfobbe@fediscience.org  ·  activity timestamp yesterday

The complete citation network of the UN Security Council up to resolution 2798 (1946-2025) is now #OpenAccess and available for download 🔽

🔷 Corpus of Resolutions: UN Security Council (CR-UNSC) 🔷

🔹 Citation Data (GraphML) on Zenodo: https://zenodo.org/records/15154519/files/CR-UNSC_2025-12-22_CITATIONS_GRAPHML.zip?download=1
🔹 Full dataset on Zenodo: https://zenodo.org/doi/10.5281/zenodo.7319780
🔹 Codebook on Zenodo: https://zenodo.org/records/11212056/files/CR-UNSC_2024-05-19_Codebook.pdf?download=1

No Code? No Problem! You can use the citation data without coding skills and with a graphical user interface (GUI) via Gephi: https://gephi.org/ Simply create a new project, open the GraphML file and off you go!

#LawFedi #OpenScience #Law #UnitedNations #InternationalLaw #Histodons #DigitalHumanities @histodons @law @politicalscience @rstats

Network representation of the full UNSC citation network.
Network representation of the full UNSC citation network.
Network representation of the full UNSC citation network.
https://zenodo.org/records/11212056/files/CR-UNSC_2024-05-19_Codebook.pdf?download=1
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Seán Fobbe
Seán Fobbe
@seanfobbe@fediscience.org replied  ·  activity timestamp yesterday

🔷 About the Dataset 🔷

The Corpus of Resolutions: UN Security Council (CR-UNSC) collects and presents for the first time in human and machine-readable form all resolutions, drafts, and meeting records of the UN Security Council, including detailed metadata, as published by the UN Digital Library and revised by ourselves.

See this blog post introducing the dataset for an overview: https://seanfobbe.com/posts/2024-05-06_new-dataset-corpus-of-resolutions-un-security-council/

We recently published a pre-print entitled "Words of Power: Introducing a Comprehensive Corpus of UN Security Council Resolutions" (Zenodo 2025) describing the collection, revision and full creation process of the corpus: https://zenodo.org/records/15191558/files/Fobbe-Gasbarri-Ridi_2025_Words-of-Power-Introducing-UN-Security-Council-Resolutions-Corpus.pdf?download=1

#UnitedNations #SecurityCouncil #InternationalLaw #NetworkAnalysis #CitationAnalysis

#LawFedi #OpenScience #Law #UnitedNations #InternationalLaw #Histodons #DigitalHumanities @histodons @law @politicalscience @rstats

https://zenodo.org/records/15191558/files/Fobbe-Gasbarri-Ridi_2025_Words-of-Power-Introducing-UN-Security-Council-Resolutions-Corpus.pdf?download=1

[New Dataset] The Corpus of Resolutions: UN Security Council

Info [Open Access] Corpus of Resolutions: UN Security Council (CR-UNSC) (Zenodo 2024) [Open Access] Source Code for the ‘Corpus of Resolutions: UN Security Council’ (Zenodo 2024) [Open Access] Slides and Materials for the ‘Corpus of Resolutions: UN Security Council’ Launch Event Overview Link to heading A new dataset is online! And what a dataset it is! This is joint work with my colleagues Lorenzo Gasbarri (Scuola Superiore Sant’Anna) and Niccolò Ridi (King’s College London) and together we proudly present:
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Seán Fobbe
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Hacker News
Hacker News
@h4ckernews@mastodon.social  ·  activity timestamp 3 weeks ago

Reverse Engineering a Mysterious UDP Stream in My Hotel (2016)

https://www.gkbrk.com/hotel-music

#HackerNews #ReverseEngineering #UDPStream #HotelMystery #TechExploration #NetworkAnalysis

Reverse Engineering A Mysterious UDP Stream in My Hotel

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Etienne / Tek boosted
Alexandre Dulaunoy
Alexandre Dulaunoy
@adulau@infosec.exchange  ·  activity timestamp 2 months ago

We’ve published new research from the EU co-funded project NGSOTI: “Learning from large-scale IPv4 blackhole: Behavioral analysis of SNMP traffic”.

Over a 12-month period (Nov 2024–Oct 2025), our network telescope captured ~634 million unsolicited SNMP queries from more than 153,000 unique IPv4 sources scanning an unused /18 block.

The origins of the traffic are globally distributed, with notable concentrations from Indonesia, China, the United States, Germany, Chile and others, as well as a few outliers generating unusually high volumes. A significant portion of the scanning activity can also be attributed to infrastructure belonging to commercial threat-intelligence and scanning companies, providing useful context on what constitutes “expected” background noise.

The analysis covers SNMP version usage (v1/v2c overwhelmingly dominant, minimal v3), community-string patterns (default, weak, and undocumented strings), and OIDs that point to which device vendors are most scanned.

This dataset provides insight into real-world reconnaissance trends targeting SNMP-capable infrastructure, helping defenders better understand background noise and scanning behaviours.

🔗 Full report: https://d4-project.org/2025/11/27/Learning-from-Large-Scale-IPv4-blackhole-behavioral-analysis-of-SNMP-traffic.html

🔗 PDF version: https://d4-project.org/assets/behavioral-analysis-of-snmp-traffic.pdf

Co-funded by European Cybersecurity Competence Centre (ECCC) under the NGSOTI project.

#cybersecurity #networkanalysis #cybersecurity #snmp #network #internet #dfir

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Andreas Wagner boosted
Frederik Elwert
Frederik Elwert
@felwert@fedihum.org  ·  activity timestamp 2 months ago

The #CallForPapers for the #HistoricalNetworkResearch conference #HNR2026 has been extended to Dec. 21! So still some time to submit something and visit beautiful Turin. https://historicalnetworkresearch.github.io/turin/cfp/ #DigitalHumanities #NetworkAnalysis

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Frederik Elwert
Frederik Elwert
@felwert@fedihum.org  ·  activity timestamp 2 months ago

The #CallForPapers for the #HistoricalNetworkResearch conference #HNR2026 has been extended to Dec. 21! So still some time to submit something and visit beautiful Turin. https://historicalnetworkresearch.github.io/turin/cfp/ #DigitalHumanities #NetworkAnalysis

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Alexandre Dulaunoy
Alexandre Dulaunoy
@adulau@infosec.exchange  ·  activity timestamp 2 months ago

We’ve published new research from the EU co-funded project NGSOTI: “Learning from large-scale IPv4 blackhole: Behavioral analysis of SNMP traffic”.

Over a 12-month period (Nov 2024–Oct 2025), our network telescope captured ~634 million unsolicited SNMP queries from more than 153,000 unique IPv4 sources scanning an unused /18 block.

The origins of the traffic are globally distributed, with notable concentrations from Indonesia, China, the United States, Germany, Chile and others, as well as a few outliers generating unusually high volumes. A significant portion of the scanning activity can also be attributed to infrastructure belonging to commercial threat-intelligence and scanning companies, providing useful context on what constitutes “expected” background noise.

The analysis covers SNMP version usage (v1/v2c overwhelmingly dominant, minimal v3), community-string patterns (default, weak, and undocumented strings), and OIDs that point to which device vendors are most scanned.

This dataset provides insight into real-world reconnaissance trends targeting SNMP-capable infrastructure, helping defenders better understand background noise and scanning behaviours.

🔗 Full report: https://d4-project.org/2025/11/27/Learning-from-Large-Scale-IPv4-blackhole-behavioral-analysis-of-SNMP-traffic.html

🔗 PDF version: https://d4-project.org/assets/behavioral-analysis-of-snmp-traffic.pdf

Co-funded by European Cybersecurity Competence Centre (ECCC) under the NGSOTI project.

#cybersecurity #networkanalysis #cybersecurity #snmp #network #internet #dfir

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