Efficient Detection of Shilling’s Attacks in Collaborative Filtering Recommendation Systems Using Deep Learning Models

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

“…Recently, a number of shilling attack detection schemes are propounded in the literature based on the merits of machine learning models. But, the classical machine learning approaches maximally depends on the process of feature engineering that essentially necessitates time-consuming and complex feature extraction phenomenon [14]. Hence, more robustly performing deep learning models are required for attaining end-to-end attack detection in real time environment.…”