Using Ensemble Method to Detect Attacks in the Recommender System-Reference-Cited by-同舟云学术

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Using Ensemble Method to Detect Attacks in the Recommender System

Published:2023 Issue: Volume:11 Page:111315-111323
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zayed Reda A.¹,Ibrahim Lamiaa Fattouh¹^ORCID,Hefny Hesham A.¹^ORCID,Salman Hesham A.²^ORCID,AlMohimeed Abdulaziz³^ORCID

Affiliation:

1. Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt

2. College of Informatics, Midocean University, Moroni, Comoros

3. College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

Funder

Cairo University, Egypt

Midocean University, Comoros

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10268947.pdf?arnumber=10268947

Reference21 articles.

1. An Enhanced Method for Detecting Attack in Collaborative Recommender System

2. Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems

3. An ensemble detection method for shilling attacks based on features of automatic extraction

4. Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives

5. Shilling attack detection for recommender systems based on credibility of group users and rating time series

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