Shilling Attack Detection in Recommender Systems
Investigated detection of profile injection (shilling) attacks in recommender systems.
May 2020 – May 2020
- Investigated detection of profile injection (shilling) attacks in recommender systems.
- Extracted RDMA, WDA, and TF-IDF features from movie rating data.
- Evaluated multiple classifiers (KNN, Random Forest, SVM) in parallel, selecting best-performing model.