End-node Fingerprinting for Malware Detection on HTTPS Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31160%2F17%3A00051939" target="_blank" >RIV/61384399:31160/17:00051939 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/17:00312831 RIV/67985556:_____/17:00507114
Result on the web
<a href="https://dl.acm.org/citation.cfm?id=3107007" target="_blank" >https://dl.acm.org/citation.cfm?id=3107007</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3098954.3107007" target="_blank" >10.1145/3098954.3107007</a>

Result language
angličtina
Original language name
End-node Fingerprinting for Malware Detection on HTTPS Data
Original language description
Main topics of the document: HTTPS data; malware detection; supervised learning
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 12h International Conference on Availability, Reliability and Security ARES '17
ISBN
978-1-4503-5257-4
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
"nestrankovano"
Publisher name
ACM (The Association for Computing Machinery)
Place of publication
New York
Event location
Reggio Calabria
Event date
Jul 29, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Result description