An efficient hybrid system for anomaly detection in social networks

An efficient hybrid system for anomaly detection in social networks

Abstract Anomaly detection has been an essential and dynamic research area in the data mining. A wide range of applications including different social medias have adopted different state-of-the-art methods to identify anomaly for ensuring user’s security and privacy. The social network refers to a f...

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Bibliographic Details
Main Authors: Md. Shafiur Rahman, Sajal Halder, Md. Ashraf Uddin, Uzzal Kumar Acharjee
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:Cybersecurity
Subjects:
Anomaly Detection
Machine Learning
Hybrid Anomaly Detection
Social Networks
Online Access:https://doi.org/10.1186/s42400-021-00074-w

Internet

https://doi.org/10.1186/s42400-021-00074-w

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