Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features
Gil Tahan and Lior Rokach and Yuval Shahar

Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features.pdf 486.14kB
Type: Paper
Tags:

Metadata:
@article{13:33,author={Gil Tahan and Lior Rokach and Yuval Shahar}, Title={Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features},journal={Journal of Machine Learning Research},volume={13}, url={http://www.jmlr.org/papers/volume13/tahan12a/tahan12a.pdf}}
Citation:
Tahan, G., Rokach, L., & Shahar, Y.. (2014). Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features [Data set]. Academic Torrents. https://academictorrents.com/details/6c1daa1fab43805daeddd2c3cb77ab6e2499be05

Send Feedback Start
   0.000007
DB Connect
   0.000473
Lookup hash in DB
   0.000388
Get torrent details
   0.000112
Get torrent details, finished
   0.000204
Get authors
   0.000001
Select authors
   0.000164
Parse bibtex
   0.000094
Write header
   0.000193
get stars
   0.000100
home tab
   0.000110
render right panel
   0.000005
render ads
   0.000350
fetch current hosters
   0.000209
related datasets
   0.001743
Done