[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 …
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 …
Effectiveness of proximity-based outlier analysis in detecting profile-injection attacks in E-Commerce Recommender Systems
P Chakraborty, S Karforma - Information Systems Design and Intelligent …, 2015 - Springer
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] 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 …
[PDF][PDF] A Novel Approach in Clustering Supervised Learning (CSL) for Recommender Systems
KA Balasubramaniam, M Chidambaram - International Journal of …, 2018 - ijssst.info
A recommender system is a novel approach in clustering supervised learning for identifying
the necessity to develop a recommender system for movies. Here we try to adjust the …
the necessity to develop a recommender system for movies. Here we try to adjust the …
Impact analysis of profile injection attacks in recommender system
Recommender systems are the backbone of all the prediction-based service platforms eg
Facebook, Amazon, LinkedIn etc. Even companies now a days are using the recommender …
Facebook, Amazon, LinkedIn etc. Even companies now a days are using the recommender …
[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 …
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 …