Project Publications
LOCARD related articles have been published in high-rated journals and presented in top conferences. The following list depicts all articles published and presented from the beginning of the project.

Big Enough to Care Not Enough to Scare! Crawling to Attack Recommender Systems


Online recommendation services, such as e-commerce sites, rely on a vast amount of knowledge about users/items that represent an invaluable resource. Part of this acquired knowledge is public and can be accessed by anyone through the Internet. Unfortunately, that same knowledge can be used by competitors or malicious users. A large body of research proposes methods to attack recommender systems, but most of these works assume that the attacker knows or can easily access the rating matrix. In practice, this information is not directly accessible, but can only be gathered via crawling.

Considering such real-life limitations, in this paper, we assess the impact of different crawling approaches when attacking a recommendation service. From the crawled information, we mount different shilling attacks. We determine the value of the collected knowledge through the reconstruction of the user/item neighborhood. Our results show that while crawling can indeed bring knowledge to the attacker (up to 65% of neighborhood reconstruction), this will not be enough to mount a successful shilling attack in practice.

Authors: Aiolli, F., Conti, M., Picek, S., Polato, M.

ConferenceESORICS 2020

Date of Publication: September 2020

Publisher: Springer

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EU flag Copyright © 2019 - 2022 LOCARD. All rights reserved. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement nº 832735. This project reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.