تقرير
MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion
| العنوان: | MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion |
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| المؤلفون: | Lin, Zilong, Li, Zhengyi, Liao, Xiaojing, Wang, XiaoFeng, Liu, Xiaozhong |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Cryptography and Security, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval |
| الوصف: | 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. Comment: Accepted at the 45th IEEE Symposium on Security and Privacy (IEEE S&P 2024) |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/SP54263.2024.00049 |
| URL الوصول: | http://arxiv.org/abs/2304.11300 |
| رقم الأكسشن: | edsarx.2304.11300 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/SP54263.2024.00049 |
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