A Survey on DNS Encryption: Current Development, Malware Misuse, and Inference Techniques
January 03, 2022 ยท The Cartographer ยท ๐ ACM Computing Surveys
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"Title-pattern auto-detect: A Survey on DNS Encryption: Current Development, Malware Misuse, and Inference Techniques"
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Authors
Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman
arXiv ID
2201.00900
Category
cs.CR: Cryptography & Security
Cross-listed
cs.NI
Citations
70
Venue
ACM Computing Surveys
Last Checked
8 days ago
Abstract
The domain name system (DNS) that maps alphabetic names to numeric Internet Protocol (IP) addresses plays a foundational role for Internet communications. By default, DNS queries and responses are exchanged in unencrypted plaintext, and hence, can be read and/or hijacked by third parties. To protect user privacy, the networking community has proposed standard encryption technologies such as DNS over TLS (DoT), DNS over HTTPS (DoH), and DNS over QUIC (DoQ) for DNS communications, enabling clients to perform secure and private domain name lookups. We survey the DNS encryption literature published since 2016, focusing on its current landscape and how it is misused by malware, and highlighting the existing techniques developed to make inferences from encrypted DNS traffic. First, we provide an overview of various standards developed in the space of DNS encryption and their adoption status, performance, benefits, and security issues. Second, we highlight ways that various malware families can exploit DNS encryption to their advantage for botnet communications and/or data exfiltration. Third, we discuss existing inference methods for profiling normal patterns and/or detecting malicious encrypted DNS traffic. Several directions are presented to motivate future research in enhancing the performance and security of DNS encryption.
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