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
   0.000008
DB Connect
   0.000684
Lookup hash in DB
   0.000622
Get torrent details
   0.000225
Get torrent details, finished
   0.000299
Get authors
   0.000001
Select authors
   0.000207
Parse bibtex
   0.000160
Write header
   0.000385
get stars
   0.000185
home tab
   0.000153
render right panel
   0.000007
render ads
   0.000741
fetch current hosters
   0.000293
related datasets
   0.002656
Done