Generating unfair ratings to attack online rating systems II
Online rating systems provide users with information to make decisions. However, these systems may be influenced by malicious behaviours from buyers and sellers. Attack models are proposed to address various scenarios based on how dishonest buyers give unfair ratings to sellers. Trust model...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/60772 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Online rating systems provide users with information to make decisions. However,
these systems may be influenced by malicious behaviours from buyers and sellers.
Attack models are proposed to address various scenarios based on how dishonest
buyers give unfair ratings to sellers. Trust models are proposed by researchers to
analyze and filter these unfair ratings. In this project, A testbed is programmed to
evaluate effectiveness of trust models against attack models with both simulated
environment data and real date collected from online marketplace. Single criteria
rating system and multi-criteria rating system are considered in this project. The
experiment results provide a comprehensive comparison of the performance of trust
models under different attacking scenarios. |
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