Statistical Features-Based Real-Time Detection of Drifted Twitter Spam.
Chao ChenYu WangJun ZhangYang XiangWanlei ZhouGeyong MinPublished in: IEEE Trans. Inf. Forensics Secur. (2017)
Keyphrases
- real time
- social networks
- false positives
- spam classification
- false alarms
- statistical analysis
- detection algorithm
- low level
- spam detection
- feature space
- detection method
- co occurrence
- object detection
- anomaly detection
- statistical models
- detection rate
- classification accuracy
- extracted features
- detection accuracy
- statistical information
- control system
- feature extraction