… Sample-by-sample outlier detection methods are vulnerable … and study the effects of the
attack profile injection. To form a … recommender systems: Detection of profile injection attacks,” …

… Then we explain profile injection attack strategies, shilling attack detection schemes and
robust recommendation algorithms proposed so far in detail. Moreover, we briefly explain …

… attack, 28 also known as profile injection attack, is one of well-known attacks to recommender
system… parameters and resistance to outliers. The smaller cluster is identified as the 227 …

… the profile injection attacks. Finally, SVM is exploited to detect profile injection attacks based
… in studying the Hurry attack, where the malicious users (outliers) create profiles without any …

… Further, we review 40+ countermeasures to detect and/or prevent poisoning attacks, … domain
of recommender systems, while separating attacks on recommender systems from related …

… We propose a new detection approach to defend different profile injection … Detecting
profile injection attacks and suspicious ratings for online recommender systems have naturally …

… Detection of profile injection attacks in social recommender systems using outlier analysis.
In 2017 IEEE International Conference on Big Data (Big Data), pages 2714–2719. IEEE, 2017…

… of that cluster, the data point is detected as an outlier. They updated the points in the cluster
… 3% filler size are detected. Their proposed method can detect profile injection attacks more …

… phase we detect profile injection used for recommendations influence using outlier detection.
… Most collaborative recommendation systems face trust [9]; profile injection attack is the …

… attacks and group shilling attacks. To simultaneously detect these hybrid attacks, we put
forward a detector … Secondly, we develop a two-stage scheme for detecting shilling profiles …