Detecting Spam Movie Review Under Coordinated Attack With Multi-View Explicit and Implicit Relations Semantics Fusion-Reference-Cited by-同舟云学术

Detecting Spam Movie Review Under Coordinated Attack With Multi-View Explicit and Implicit Relations Semantics Fusion

Published:2024 Issue: Volume:19 Page:7588-7603
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Cai Yicheng¹^ORCID,Wang Haizhou¹^ORCID,Cao Hao¹,Wang Wenxian²,Zhang Lei³^ORCID,Chen Xingshu²^ORCID

Affiliation:

1. School of Cyber Science and Engineering, Sichuan University, Chengdu, China

2. Key Laboratory of Data Protection and Intelligent Management, the School of Cyber Science and Engineering, Ministry of Education and the Cyber Science Research Institute, Sichuan University, Chengdu, China

3. College of Computer Science, Sichuan University, Chengdu, China

Funder

Key Laboratory of Data Protection and Intelligent Management (Sichuan University), Ministry of Education

National Natural Science Foundation of China

Science and Engineering Connotation Development Project of Sichuan University

Key Research and Development Program of Science and Technology Department of Sichuan Province

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/10206/10319981/10633745.pdf?arnumber=10633745

Reference50 articles.

1. Efficiently Promoting Product Online Outcome: An Iterative Rating Attack Utilizing Product and Market Property

2. Detecting fake-review buyers using network structure: Direct evidence from Amazon

3. Blackmarket-Driven Collusion Among Retweeters–Analysis, Detection, and Characterization

4. An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection

5. GCMK: Detecting Spam Movie Review Based on Graph Convolutional Network Embedding Movie Background Knowledge