Login
Submit Now
No file available [This article belongs to Volume - 54, Issue - 1]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-15-06-2022-224
Title : Shilling Attacks Detection Based on CNN and Hesitant Fuzzy Sets
CAI Hongyun, , YUAN Shilin, , WEN Yu, , REN Jichao, , MENG Jie,

Abstract : Recommender systems can effectively alleviate the problem of information overload caused by the rapid development of the Internet. However, the occurrence of shilling attacks restricts the healthy development of recommender systems. Therefore, how to detect shilling attacks accurately and efficiently is an important problem in the field of recommender systems security. The existing detection methods usually design hand-crafted detection features based on expert knowledge or automatically learn f

Keywords : Shilling Attacks Detection Based, Hesitant Fuzzy Sets Recommender, shilling, attacks, detection