Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time
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Abstract (arXiv)
Although groups of strongly correlated antivirus engines are known to exist, at present there is limited understanding of how or why these correlations came to be. Using a corpus of 25 million VirusTotal reports representing over a decade of antivirus scan data, we challenge prevailing wisdom that these correlations primarily originate from "first-order" interactions such as antivirus vendors copying the labels of leading vendors. We introduce the Temporal Rank-1 Similarity Matrix decomposition (R1SM-T) in order to investigate the origins of these correlations and to model how consensus amongst antivirus engines changes over time. We reveal that first-order interactions do not explain as much behavior in antivirus correlation as previously thought, and that the relationships between antivirus engines are highly volatile. We make recommendations on items in need of future study and consideration based on our findings.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 2 of its 26 references that are in the map. First posted on arXiv 28 Dec 2021.
Builds on
2 of 26 references.
References · 2
- 2017Attention Is All You Needcited by 59,932
- 2020A Survey of Machine Learning Methods and Challenges for Windows Malware Classificationcited by 33
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Citing papers per year: 2023: 1; 2024: 4; 2025: 1; 2026: 1.
7 papers.
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- 2023AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corporacited by 5
- 2024Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Samplingcited by 4
- 2024Living off the Analyst: Harvesting Features from Yara Rules for Malware Detectioncited by 3
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- 2026Cybersecurity is the True Frontier for Generative AI Success or Failure27 Jun 2026
- 2025Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora17 Nov 2025
- 2024Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection27 Nov 2024
- 2024Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling31 Oct 2024
- 2024Is Function Similarity Over-Engineered? Building a Benchmark30 Oct 2024
- 2024Assemblage: Automatic Binary Dataset Construction for Machine Learning7 May 2024
- 2023AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora9 Jun 2023