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Found 2 papers, 1 papers with code
Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
In this paper, we explore how machine learning (ML) models can (1) help streamline the detection process, (2) improve the potential of using large-scale datasets for censorship detection, and (3) discover new censorship instances and blocking signatures missed by existing heuristic methods.
Domain Name Encryption Is Not Enough: Privacy Leakage via IP-based Website Fingerprinting
Although the security benefits of domain name encryption technologies such as DNS over TLS (DoT), DNS over HTTPS (DoH), and Encrypted Client Hello (ECH) are clear, their positive impact on user privacy is weakened by--the still exposed--IP address information.
Cryptography and Security Networking and Internet Architecture
