ABSTRACT:
The success of an online rating system makes it a popular space for malicious sellers to misdirect public’s online choices, while the security-related examinations are falling behind. In this project, we build up a quantile relapse model to examine influential factors on online client decisions and uncover that the advancement impact on items’ market results is controlled by the assailant’s control as well as the particular property of the objective item and the market self-energizing force. Motivated by these discoveries, we propose a novel iterative rating attack and approve its viability through examinations.
