跳至主導覽
跳至搜尋
跳過主要內容
國立中央大學 首頁
說明與常見問題
English
中文
首頁
人才檔案
研究單位
研究計畫
研究成果
資料集
榮譽/獲獎
學術活動
新聞/媒體
影響
按專業知識、姓名或所屬機構搜尋
DANS: A Secure and Efficient Driver-Abnormal Notification Scheme with IoT Devices over IoV
Woei Jiunn Tsaur,
Lo Yao Yeh
資訊管理學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
10
引文 斯高帕斯(Scopus)
總覽
指紋
指紋
深入研究「DANS: A Secure and Efficient Driver-Abnormal Notification Scheme with IoT Devices over IoV」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
IoT Devices
100%
Internet of Vehicles
100%
Real-time Detection
33%
Driver Authentication
33%
Performance Evaluation
33%
Mobile Phone
33%
Communication Overhead
33%
Low Latency
33%
Performance Simulation
33%
Time Response
33%
Non-repudiation
33%
Hash Chain
33%
Mutual Authentication
33%
Safety Messages
33%
Traffic Accidents
33%
Chain-based
33%
Latency Constraint
33%
Edge Nodes
33%
Long-distance Communication
33%
Short Latency
33%
Good Scalability
33%
Communication Latency
33%
Edge-fog Computing
33%
Two-factor Authentication
33%
Sensing Parameters
33%
Message Verification
33%
Fast Verification
33%
Conditional Privacy
33%
Public Key Cryptosystem
33%
Security Protocols
33%
Computer Science
Internet of Vehicles
100%
Internet-Of-Things
100%
Authentication
33%
Performance Evaluation
33%
Communication Overhead
33%
Response Time
33%
Performance Simulation
33%
Nonrepudiation
33%
Mutual Authentication
33%
Communication Latency
33%
Privacy Preservation
33%
Fog Computing
33%
Security protocols
33%
Public-Key Cryptosystems
33%
Two-Factor Authentication
33%