A Shilling Attack Model Based on TextCNN

Hybrid CNN and RNN-based shilling attack framework in social recommender networks

“…The extensive experiments of this FCF framework conducted using real-world datasets confirmed better accuracy of 0.90 with respect to Netflix dataset. Then, an integrated binary collaborative and stand-alone ratingbased framework was proposed for better detection of shilling attack [17]. This integrated framework was proposed with the dimensions of robustness and binary collaborative filtering for detecting shilling attack.…”