Intelligent Big Data Summarization for Rare Anomaly Detection

Intelligent Big Data Summarization for Rare Anomaly Detection

Identifying interesting patterns from a huge amount of data is a challenging task across a wide range of application domain. Especially, for cyber security being able to identify rare types of network activities or anomalies from network traffic data (a.k.a. Big Data!) is an important but time-consu...

Full description

Bibliographic Details
Main Author: Mohiuddin Ahmed
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Anomaly detection
data summarization
sampling
clustering
SCADA
network traffic
Online Access:https://ieeexplore.ieee.org/document/8720160/

Internet

https://ieeexplore.ieee.org/document/8720160/

Similar Items