A Linguistics-based Stacking Approach to Disposable Domains Detection
Yuwei Zeng, Yongzheng Zhang, Tianning Zang, Xunxun Chen, Yipeng Wang · 2019
More Internet services tend to collect the one-time information from clients via DNS queries. Notably, the uncertainty of such transient information makes these domain names be queried only once in their lifetime. This type of domain is called disposable domain. Although they are not malicious, the efficiency of DNS infrastructures will still be affected by their ever-increasing number. In this paper, we propose Vogers, a linguistics-based stacking model, to detect the disposable domains. Our evaluation demonstrates that Vogers decreases the false positive rate by more than 19%, compared with the prior art, while maintaining the true positive rate above 98.9%.