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End-node Fingerprinting for Malware Detection on HTTPS Data
SYS 0507114 LBL 01000a^^22220027750^450 005 20240103222342.8 014 $a 85030325858 $2 SCOPUS 014 $a 000426964900077 $2 WOS 017 $a 10.1145/3098954.3107007 $2 DOI 100 $a 20190731d m y slo 03 ba 101 $a eng $d eng 102 $a US 200 1-
$a End-node Fingerprinting for Malware Detection on HTTPS Data 215 $a 7 s. $c P 463 -1
$1 001 cav_un_epca*0507113 $1 010 $a 978-1-4503-5257-4 $1 200 1 $a Proceedings of the 12th International Conference on Availability, Reliability and Security (ARES'17) $v S. 1-7 $1 210 $a New York $c ACM $d 2017 610 $a HTTPS data 610 $a Malware detection 610 $a Supervised learning 700 -1
$3 cav_un_auth*0352238 $a Komárek $b T. $y CZ 701 -1
$3 cav_un_auth*0101197 $a Somol $b Petr $i Rozpoznávání obrazu $j Department of Pattern Recognition $k RO $l RO $p UTIA-B $w Department of Pattern Recognition $T Ústav teorie informace a automatizace AV ČR, v. v. i. 856 $u http://library.utia.cas.cz/separaty/2019/RO/somol-0507114.pdf
Number of the records: 1