文献
J-GLOBAL ID:201902248789650298
整理番号:19A0514214
名前付きデータネットワーキングにおける汚染攻撃に対する経路多様性の利用【JST・京大機械翻訳】
Exploiting Path Diversity for Thwarting Pollution Attacks in Named Data Networking
著者 (4件):
Guo Haoran
(Anhui Key Laboratory on High Performance Computing and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China)
,
Wang Xiaodong
(Anhui Key Laboratory on High Performance Computing and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China)
,
Chang Kun
(Anhui Key Laboratory on High Performance Computing and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China)
,
Tian Ye
(Anhui Key Laboratory on High Performance Computing and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China)
資料名:
IEEE Transactions on Information Forensics and Security
(IEEE Transactions on Information Forensics and Security)
巻:
11
号:
9
ページ:
2077-2090
発行年:
2016年
JST資料番号:
W1570A
ISSN:
1556-6013
CODEN:
ITIFA6
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)