Identifying bad software changes via multimodal anomaly detection for online service systems.
Nengwen ZhaoJunjie ChenZhaoyang YuHonglin WangJiesong LiBin QiuHongyu XuWenchi ZhangKaixin SuiDan PeiPublished in: ESEC/SIGSOFT FSE (2021)
Keyphrases
- anomaly detection
- service systems
- detecting anomalies
- intrusion detection
- enterprise systems
- anomalous behavior
- network intrusion detection
- network anomaly detection
- intrusion detection system
- online learning
- one class support vector machines
- web technologies
- service level
- negative selection algorithm
- network traffic
- detect anomalies
- service oriented
- unsupervised learning
- abnormal events
- neural network
- supply chain