An empirical investigation of practical log anomaly detection for online service systems.
Nengwen ZhaoHonglin WangZeyan LiXiao PengGang WangZhu PanYong WuZhen FengXidao WenWenchi ZhangKaixin SuiDan PeiPublished in: ESEC/SIGSOFT FSE (2021)
Keyphrases
- anomaly detection
- service systems
- intrusion detection
- detecting anomalies
- anomalous behavior
- network anomaly detection
- online learning
- intrusion detection system
- web technologies
- service level
- network intrusion detection
- one class support vector machines
- negative selection algorithm
- network traffic
- detect anomalies
- heavy traffic
- service oriented
- active learning
- object recognition
- data mining