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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
fundfunder
venuejournal
aboutaboutness

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 15 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.

affunlabeled
A Detection of Intrusions Based on Deep Learning
D. Kamalakkannan, D. Menaga, S. Shobana, K. V. Daya Sagar, R. Rajagopal, Mohit Tiwari
2023· article· en· Cybernetics & Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
A Constraint-based intrusion detection system
Md Siam Hasan, Thomas Dean, Fahim T. Imam, Francisco Moreno, Sylvain Leblanc, Mohammad Zulkernine
2017· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
WIDS
C. I. Ezeife, Maxwell Ejelike, A. K. Aggarwal
2008· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Mozi IoT Malware and Its Botnets: From Theory To Real-World Observations
Josh Sahota, Natalija Vlajic
2021· article· en· 2021 International Conference on Computational Science and Computational Intelligence (CSCI)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
8
citations
affno abstractunlabeled
AI-driven data security and privacy
Zheng Yan, Willy Susilo, Elisa Bertino, Jun Zhang, Laurence T. Yang
2020· article· en· Journal of Network and Computer Applications· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
On the coordination of vulnerability fixes
Jiahuei Lin, Bram Adams, Ahmed E. Hassan
2023· article· en· Empirical Software Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
aboutno affRetractionunlabeled
Smart intrusion detection system with balanced data in IoMT infra
S. Umamaheswaran, J. Mannar Mannan, K. M. Karthick Raghunath, Santhi Muttipoll Dharmarajlu, M D Anuratha
2023· article· en· Journal of Intelligent & Fuzzy Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Open Set Dandelion Network for IoT Intrusion Detection
Jiashu Wu, Hao Dai, Kenneth B. Kent, Jerome Yen, Chengzhong Xu, Yang Wang
2024· article· en· ACM Transactions on Internet Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About