Recommender system (RS) in the present web environment is required to gain the
knowledge of the users and their commitments such as like and dislike about any items …

Recommender system (RS) depends on the thoughts of numerous users to predict the
favourites of potential consumers. RS is vulnerable to malicious information. Unsuitable …

Within the last 20 years, recommender systems have come out as one of the efficient
techniques to deal with the knowledge, which is overloaded by suggestive information and it …

Recommendation system is a special type of information filtering system that attempts to
present information/objects that are likely to the interest of user. Any organization, provides …

Security of Recommender systems from various type of attacks from non-genuine users are
main point of research these days. The performance of Recommender systems get …

Collaborative filtering (CF) is a successful and hence most widely used technique for
recommender systems. However, it is vulnerable to shilling attack due to its open nature …

A collaborative filtering-based recommendation system has been an integral part of e-
commerce and e-servicing. To keep the recommendation systems reliable, authentic, and …

Although collaborative filtering achieves satisfying performance in recommender systems,
many studies suggest that it is vulnerable by shilling attack aimed to manipulate the …

Literature survey shows that the recommendation systems have been largely adapted and
evaluated in various domains. Due to low performances from various cyber attacks, the …

As the use of recommender systems becomes generalized in society, the interest in varying
the orientation of their recommendations is increasing. There are shilling attacks' strategies …