9 citations · 21 across the 7 of their papers we have counts for
7 papers
TabSec: A Collaborative Framework for Novel Insider Threat Detection
Zilin Huang, Xiangyan Tang, Hongyu Li +2
In the era of the Internet of Things (IoT) and data sharing, users frequently upload their personal information to enterprise databases to enjoy enhanced service experiences provid…
An Improved Method for the Fitting and Prediction of the Number of COVID-19 Confirmed Cases Based on LSTM
Bingjie Yan, Xiangyan Tang, Boyi Liu +6
New coronavirus disease (COVID-19) has constituted a global pandemic and has spread to most countries and regions in the world. By understanding the development trend of a regional…
Traffic Flow Combination Forecasting Method Based on Improved LSTM and ARIMA
Boyi Liu, Xiangyan Tang, Jieren Cheng +1
Traffic flow forecasting is hot spot research of intelligent traffic system construction. The existing traffic flow prediction methods have problems such as poor stability, high da…
A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning
Jieren Cheng, Junqi Li, Xiangyan Tang +3
Distributed Denial of Service (DDoS) attack has become one of the most destructive network attacks which can pose a mortal threat to Internet security. Existing detection methods c…
Adaptive DDoS attack detection method based on multiple-kernel learning
Jieren Cheng, Chen Zhang, Xiangyan Tang +4
Distributed denial of service (DDoS) attacks have caused huge economic losses to society. They have become one of the main threats to Internet security. Most of the current detecti…
Forecasting model based on information-granulated GA-SVR and ARIMA for producer price index
Xiangyan Tang, Liang Wang, Jieren Cheng +1
The accuracy of predicting the Producer Price Index (PPI) plays an indispensable role in government economic work. However, it is difficult to forecast the PPI. In our research, we…
DDoS Attack Detection Method Based on Network Abnormal Behavior in Big Data Environment
Jing Chen, Xiangyan Tang, Jieren Cheng +2
Distributed denial of service (DDoS) attack becomes a rapidly growing problem with the fast development of the Internet. The existing DDoS attack detection methods have time-delay…