Automated Modeling of Real-Time Anomaly Detection using Non-Parametric Statistical technique for Data Streams in Cloud Environments
The main objective of online anomaly detection is to identify abnormal/unusual behavior such as network intrusions, malware infections, over utilized system resources due to design defects etc from real time data stream. Terrabytes of performance data generated in cloud data centers is a well accept...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Communications and Information Society (CCIS)
2019-09-01
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| Series: | Journal of Communications Software and Systems |
| Subjects: | |
| Online Access: | https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/717/pdf |