Detection of profile-injection attacks in recommender systems using outlier analysis
P Chakraborty, S Karforma - Procedia Technology, 2013 - Elsevier
E-Commerce recommender systems are vulnerable to different types of profile-injection
attacks where a number of fake user profiles are inserted into the system to influence the …
attacks where a number of fake user profiles are inserted into the system to influence the …
[PDF][PDF] An accuracy improvement of detection of profile-injection attacks in recommender systems using outlier analysis
JH Dhimmar, R Chauhan - International Journal of Computer Applications, 2015 - Citeseer
ABSTRACT E-Commerce recommender systems are affected by various kinds of profile-
injection attacks where several fake user profiles are entered into the system to influence the …
injection attacks where several fake user profiles are entered into the system to influence the …
[PDF][PDF] Clustering approach to detect profile injection attacks in recommender system
Recommender systems apply techniques of knowledge discovery for specific problem to
make personalized recommendation of the products or services to the users. The huge …
make personalized recommendation of the products or services to the users. The huge …
Ensemble approach to detect profile injection attack in recommender system
Recommender systems apply knowledge discovery techniques to specific problem of
making personalized recommendation for the products or services to the users. The huge …
making personalized recommendation for the products or services to the users. The huge …
Unsupervised and supervised methods for the detection of hurriedly created profiles in recommender systems
C Panagiotakis, H Papadakis… - International Journal of …, 2020 - Springer
Recommender systems try to provide users with accurate personalized suggestions for
items based on an analysis of previous user decisions and the decisions made by other …
items based on an analysis of previous user decisions and the decisions made by other …
Detection of hurriedly created abnormal profiles in recommender systems
C Panagiotakis, H Papadakis… - … on Intelligent Systems …, 2018 - ieeexplore.ieee.org
Recommender systems try to predict the preferences of users for specific items. These
systems suffer from profile injection attacks, where the attackers have some prior knowledge …
systems suffer from profile injection attacks, where the attackers have some prior knowledge …
Detection of abnormal profiles on group attacks in recommender systems
Recommender systems using Collaborative Filtering techniques are capable of make
personalized predictions. However, these systems are highly vulnerable to profile injection …
personalized predictions. However, these systems are highly vulnerable to profile injection …
A hybrid decision approach to detect profile injection attacks in collaborative recommender systems
Collaborative filtering is a vitally central technology of personalized recommendation, yet its
recommended result is so sensitive to users' preferences that the recommender system has …
recommended result is so sensitive to users' preferences that the recommender system has …
A novel shilling attack detection method
Recommender systems provide an impressive way to overcome information overload
problem. However, they are vulnerable to profile injection or shilling attacks. Malicious users …
problem. However, they are vulnerable to profile injection or shilling attacks. Malicious users …
[PDF][PDF] A Meta-learning-based Approach for Detecting Profile Injection Attacks in Collaborative Recommender Systems.
F Zhang, Q Zhou - J. Comput., 2012 - jcomputers.us
Recent research has shown the significant vulnerabilities of collaborative recommender
systems in the face of profile injection attacks, in which malicious users insert fake profiles …
systems in the face of profile injection attacks, in which malicious users insert fake profiles …