Anomaly detection optimization using big data and deep learning to reduce false-positive.
Khloud Al JalladMohamad AljnidiMohammad Said DesoukiPublished in: J. Big Data (2020)
Keyphrases
- anomaly detection
- false positives
- big data
- deep learning
- unsupervised learning
- false negative
- intrusion detection
- cloud computing
- detection rate
- false positive rate
- intrusion detection system
- data processing
- data management
- business intelligence
- machine learning
- data analysis
- social media
- weakly supervised
- knowledge discovery
- detect anomalies
- data warehousing
- dimensionality reduction
- expectation maximization
- object recognition
- computer vision
- classification accuracy
- data model
- pattern recognition