A data-driven method for network anomaly attack detection in public transport system
With the popularity of the Internet, more and more businesses and transactions rely on the network to complete, and at the same time, anomaly attacks against various network applications are becoming more and more frequent. How to detect and identify various network anomalies has become an unavoidab...
Saved in:
主要作者: | Yin, Rui |
---|---|
其他作者: | Goh Wang Ling |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2019
|
主題: | |
在線閱讀: | http://hdl.handle.net/10356/78416 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Detection and prevention of man-in-the-middle attack
由: Kok, Donovan Zheng Jie
出版: (2023) -
DDoS attack detection and mitigation with sFlow-based SDN system
由: Xu, Congjian
出版: (2021) -
Occupancy modelling using data driven models
由: Lee, Gabriel Hanjie
出版: (2020) -
Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants
由: Goh, Johnathan Qing Yan
出版: (2023) -
Network resource management to transport pre-stored video across broadband networks
由: Fu, Huirong.
出版: (2008)