Zobrazeno 1 - 10
of 48
pro vyhledávání: '"JOYCE, ROBERT J."'
Existing research on malware classification focuses almost exclusively on two tasks: distinguishing between malicious and benign files and classifying malware by family. However, malware can be categorized according to many other types of attributes,
Externí odkaz:
http://arxiv.org/abs/2310.11706
Autor:
Eren, Maksim E., Bhattarai, Manish, Joyce, Robert J., Raff, Edward, Nicholas, Charles, Alexandrov, Boian S.
Identification of the family to which a malware specimen belongs is essential in understanding the behavior of the malware and developing mitigation strategies. Solutions proposed by prior work, however, are often not practicable due to the lack of r
Externí odkaz:
http://arxiv.org/abs/2309.06643
When investigating a malicious file, searching for related files is a common task that malware analysts must perform. Given that production malware corpora may contain over a billion files and consume petabytes of storage, many feature extraction and
Externí odkaz:
http://arxiv.org/abs/2306.06228
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 antiviru
Externí odkaz:
http://arxiv.org/abs/2201.00757
Malware family classification is a significant issue with public safety and research implications that has been hindered by the high cost of expert labels. The vast majority of corpora use noisy labeling approaches that obstruct definitive quantifica
Externí odkaz:
http://arxiv.org/abs/2111.15031
In some problem spaces, the high cost of obtaining ground truth labels necessitates use of lower quality reference datasets. It is difficult to benchmark model performance using these datasets, as evaluation results may be biased. We propose a supple
Externí odkaz:
http://arxiv.org/abs/2109.11126
Publikováno v:
In Computers & Security January 2023 124
Publikováno v:
Journal of Hydrometeorology, 2012 Dec 01. 13(6), 1784-1798.
Externí odkaz:
https://www.jstor.org/stable/24914739
Autor:
Joyce, Robert J., Xie, Pingping
Publikováno v:
Journal of Hydrometeorology, 2011 Dec 01. 12(6), 1547-1563.
Externí odkaz:
https://www.jstor.org/stable/24912741
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 antiviru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::759705d05ff81a3a91b856f96ababdfb