Using Ensemble Method to Detect Attacks in the Recommender System

Using Ensemble Method to Detect Attacks in the Recommender System

Shill attacks are a serious threat to the stability of filtering and recommendation systems. These attacks involve the injection of fake profiles into the system, which can compromise the reliability of system output. Several shilling attack detection techniques have been proposed, but they often ha...

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Bibliographic Details
Main Authors: Reda A. Zayed, Lamiaa Fattouh Ibrahim, Hesham A. Hefny, Hesham A. Salman, Abdulaziz AlMohimeed
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Shilling attack detection
profile injection
recommender system
machine learning
ensemble method
Online Access:https://ieeexplore.ieee.org/document/10268947/

Internet

https://ieeexplore.ieee.org/document/10268947/

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