MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion

Fuente: arXiv
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Main Authors: Lin, Zilong, Li, Zhengyi, Liao, Xiaojing, Wang, XiaoFeng, Liu, Xiaozhong
Format: Preprint
Published: 2023
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_version_ 1866909215609585664
author Lin, Zilong
Li, Zhengyi
Liao, Xiaojing
Wang, XiaoFeng
Liu, Xiaozhong
author_facet Lin, Zilong
Li, Zhengyi
Liao, Xiaojing
Wang, XiaoFeng
Liu, Xiaozhong
contents As a prominent instance of vandalism edits, Wiki search poisoning for illicit promotion is a cybercrime in which the adversary aims at editing Wiki articles to promote illicit businesses through Wiki search results of relevant queries. In this paper, we report a study that, for the first time, shows that such stealthy blackhat SEO on Wiki can be automated. Our technique, called MAWSEO, employs adversarial revisions to achieve real-world cybercriminal objectives, including rank boosting, vandalism detection evasion, topic relevancy, semantic consistency, user awareness (but not alarming) of promotional content, etc. Our evaluation and user study demonstrate that MAWSEO is capable of effectively and efficiently generating adversarial vandalism edits, which can bypass state-of-the-art built-in Wiki vandalism detectors, and also get promotional content through to Wiki users without triggering their alarms. In addition, we investigated potential defense, including coherence based detection and adversarial training of vandalism detection, against our attack in the Wiki ecosystem.
format Preprint
id arxiv_https___arxiv_org_abs_2304_11300
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion
Lin, Zilong
Li, Zhengyi
Liao, Xiaojing
Wang, XiaoFeng
Liu, Xiaozhong
Cryptography and Security
Artificial Intelligence
Information Retrieval
As a prominent instance of vandalism edits, Wiki search poisoning for illicit promotion is a cybercrime in which the adversary aims at editing Wiki articles to promote illicit businesses through Wiki search results of relevant queries. In this paper, we report a study that, for the first time, shows that such stealthy blackhat SEO on Wiki can be automated. Our technique, called MAWSEO, employs adversarial revisions to achieve real-world cybercriminal objectives, including rank boosting, vandalism detection evasion, topic relevancy, semantic consistency, user awareness (but not alarming) of promotional content, etc. Our evaluation and user study demonstrate that MAWSEO is capable of effectively and efficiently generating adversarial vandalism edits, which can bypass state-of-the-art built-in Wiki vandalism detectors, and also get promotional content through to Wiki users without triggering their alarms. In addition, we investigated potential defense, including coherence based detection and adversarial training of vandalism detection, against our attack in the Wiki ecosystem.
title MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion
topic Cryptography and Security
Artificial Intelligence
Information Retrieval
url https://arxiv.org/abs/2304.11300