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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Network Security and Intrusion Detection
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,999 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,999 works in the cohort · of 4,299,418page 6 of 40

Labels cover 2 of 1,999 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,999 of 1,999 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Uncovering Lateral Movement Using Authentication Logs
Haibo Bian, Tim Bai, Mohammad A. Salahuddin, Noura Limam, Abbas Abou Daya, Raouf Boutaba
2021· article· en· IEEE Transactions on Network and Service Management· Computer Science
distilled prediction:candidate · noneconsensus · none
37
citations
fundno affno abstractunlabeled
A Bayesian change point model for detecting SIP-based DDoS attacks
Barış Kurt, Çağatay Yıldız, Taha Ceritli, Bülent Sankur, Ali Taylan Cemgil
2017· article· en· Digital Signal Processing· Computer Science
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
36
citations
affunlabeled
Application-layer denial of service attacks: taxonomy and survey
Γεώργιος Μαντάς, Natalia Stakhanova, Hugo Gonzalez, Hossein Hadian Jazi, Ali A. Ghorbani
2015· article· en· International Journal of Information and Computer Security· Computer Science
distilled prediction:candidate · noneconsensus · none
36
citations
affunlabeled
IoT and Man‐in‐the‐Middle Attacks
Hamidreza Fereidouni, Olga Fadeitcheva, Mehdi Zalai
2025· article· en· Security and Privacy· Computer Science
distilled prediction:candidate · noneconsensus · none
35
citations
afffundunlabeled
On botnet behaviour analysis using GP and C4.5
Fariba Haddadi, Dylan Runkel, A. Nur Zincir‐Heywood, Malcolm I. Heywood
2014· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
32
citations
afffundunlabeled
Detecting Flooding-Based DDoS Attacks
Yang You, Mohammad Zulkernine, Anwar Haque
2007· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
32
citations
venueno affunlabeled
Network Anomaly Detection in 5G Networks
Atta Rahman, Maqsood Mahmud, Tahir Iqbal, Linah Saraireh, Hisham A. Kholidy, Mohammed Gollapalli +4 more
2022· article· en· Mathematical Modelling and Engineering Problems· Computer Science
distilled prediction:candidate · noneconsensus · none
32
citations

How this was built: Screen · Findings · About