Jettisoning Junk Messaging in the Era of End-to-End Encryption: A Case Study of WhatsApp
Jettisoning Junk Messaging in the Era of End-to-End Encryption: A Case Study of WhatsApp
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DOI：
10.1145/3485447.3512130
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发表时间：
2021-06
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影响因子：
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通讯作者：
Pushkal Agarwal;Aravindh Raman;Damilola Ibosiola;Nishanth R. Sastry;Gareth Tyson;Venkata Rama Kiran Garimella
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作者：
Pushkal Agarwal;Aravindh Raman;Damilola Ibosiola;Nishanth R. Sastry;Gareth Tyson;Venkata Rama Kiran Garimella
WhatsApp是一款流行的消息应用程序，在地球仪上有超过10亿用户使用。由于这种流行，理解WhatsApp上的不当行为是一个重要的问题。研究人员仍然没有充分研究未知联系人通过WhatsApp发送不需要的垃圾信息，部分原因是该平台提供的端到端加密。我们通过研究发送给印度5K公共WhatsApp群组的260万条消息的多语言数据集来解决这一差距。我们同时删除垃圾内容和广告。我们发现，近十分之一的消息是垃圾邮件发送的不需要的内容，并采用了一些独特的策略来反映WhatsApp面临的挑战，例如，需要定期更换电话号码。最后，我们尝试了设备上的分类，以自动检测垃圾，同时尊重端到端加密。
WhatsApp is a popular messaging app used by over a billion users around the globe. Due to this popularity, understanding misbehavior on WhatsApp is an important issue. The sending of unwanted junk messages by unknown contacts via WhatsApp remains understudied by researchers, in part because of the end-to-end encryption offered by the platform. We address this gap by studying junk messaging on a multilingual dataset of 2.6M messages sent to 5K public WhatsApp groups in India. We characterise both junk content and senders. We find that nearly 1 in 10 messages is unwanted content sent by junk senders, and a number of unique strategies are employed to reflect challenges faced on WhatsApp, e.g., the need to change phone numbers regularly. We finally experiment with on-device classification to automate the detection of junk, whilst respecting end-to-end encryption.