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
No stats to report yet.
Related Torrents
Report
Send Feedback Start
   0.000007
DB Connect
   0.000482
Lookup hash in DB
   0.000422
Get torrent details
   0.000124
Get torrent details, finished
   0.000204
Get authors
   0.000000
Select authors
   0.000168
Parse bibtex
   0.000101
Write header
   0.000197
get stars
   0.000322
home tab
   0.000123
render right panel
   0.000005
render ads
   0.000439
fetch current hosters
   0.000232
Start get stats
   0.000391
End get stats
   0.000002
related datasets
   0.002143
Done