Efficiently promoting product online outcome: An iterative rating attack utilizing product and market property

Yuhong Liu, Wenqi Zhou, Hong Chen

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

The prosperity of online rating system makes it a popular place for malicious vendors to mislead public's online decisions, whereas the security related studies are lagging behind. In this paper, we develop a quantile regression model to investigate influential factors on online user choices and reveal that the promotion effect on products' market outcomes is determined by not only the attacker's manipulation power but also the specific property of the target product and the market self-exciting power. Inspired by these findings, we propose a novel iterative rating attack and validate its effectiveness through experiments.

Original languageEnglish (US)
Article number7855795
Pages (from-to)1444-1457
Number of pages14
JournalIEEE Transactions on Information Forensics and Security
Volume12
Issue number6
DOIs
StatePublished - Jun 2017

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All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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