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Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference
Yongkang Jiang
, Gaolei Li
, shenghong li
, Ying Guo
,
Kai Zhou
Department of Computing
The Hong Kong Polytechnic University
Research output
:
Journal article publication
›
Journal article
›
Academic research
›
peer-review
3
Citations (Scopus)
Overview
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Dive into the research topics of 'Crowdsourcing Malware Family Annotation: Joint Class-Determined Tag Extraction and Weakly-Tagged Sample Inference'. Together they form a unique fingerprint.
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Keyphrases
Crowdsourcing
100%
Malware Family
100%
Tag Extraction
100%
Locator
75%
Incremental Parsing
75%
Malware
50%
Parsing
50%
Expectation-maximization Algorithm
25%
Maximum Likelihood
25%
Maximum Likelihood Estimation
25%
Family Activities
25%
Benchmark Dataset
25%
Confusion Matrix
25%
Anti-malware
25%
Extract Class
25%
Estimation Scheme
25%
Security Community
25%
Annotation pipeline
25%
Malice
25%
Unknown Truths
25%
Computer Science
Annotation
100%
Parsing
100%
Malware Family
100%
Malware
60%
maximum-likelihood
40%
Security Community
20%
Likelihood Estimation
20%
Estimation Scheme
20%
Confusion Matrix
20%
Family Behavior
20%