IoT based cyber forensics in big data optimization and privacy using deep neural anomaly detection with Hadoop clustering and convolution based Adam optimizer.
Sabaresan VenugopalRamesh RengaswamyGodfrey Winster SathianesanPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- big data
- anomaly detection
- cloud computing
- intrusion detection
- network intrusion detection
- data management
- detecting anomalies
- social media
- big data analytics
- data analysis
- unstructured data
- data intensive
- unsupervised learning
- network traffic
- intrusion detection system
- data warehousing
- business intelligence
- sparse pca
- data analytics
- anomalous behavior
- network anomaly detection
- data processing
- security issues
- one class support vector machines
- knowledge discovery
- personal information
- network security
- commodity hardware
- personal data
- detect anomalies
- feature space
- metadata