文献
J-GLOBAL ID:201902219611006725
整理番号:19A2479772
脆弱性記述からソフトウェアの脆弱性の重大度を予測するための文字レベルの畳込みニューラルネットワーク
Character-Level Convolutional Neural Network for Predicting Severity of Software Vulnerability from Vulnerability Description
著者 (11件):
NAKAGAWA Shunta
(Department of Electrical and Electronic Engineering, Kobe University)
,
NAGAI Tatsuya
(Department of Electrical and Electronic Engineering, Kobe University)
,
KANEHARA Hideaki
(National Institute of Information and Communications Technology)
,
FURUMOTO Keisuke
(National Institute of Information and Communications Technology)
,
TAKITA Makoto
(Department of Electrical and Electronic Engineering, Kobe University)
,
SHIRAISHI Yoshiaki
(Department of Electrical and Electronic Engineering, Kobe University)
,
SHIRAISHI Yoshiaki
(Center for Mathematical and Data Sciences, Kobe University)
,
TAKAHASHI Takeshi
(National Institute of Information and Communications Technology)
,
MOHRI Masami
(Department of Electrical, Electronic and Computer Engineering, Gifu University)
,
TAKANO Yasuhiro
(Department of Electrical and Electronic Engineering, Kobe University)
,
MORII Masakatu
(Department of Electrical and Electronic Engineering, Kobe University)
資料名:
IEICE Transactions on Information and Systems (Web)
(IEICE Transactions on Information and Systems (Web))
巻:
E102.D
号:
9
ページ:
1679-1682(J-STAGE)
発行年:
2019年
JST資料番号:
U0469A
ISSN:
1745-1361
資料種別:
逐次刊行物 (A)
記事区分:
短報
発行国:
日本 (JPN)
言語:
英語 (EN)