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Quantifying DNS namespace influence
Authors:Casey Deccio  Jeff Sedayao  Krishna Kant  Prasant Mohapatra
Affiliation:1. Sandia National Laboratories, P.O. Box 969, Livermore, CA, United States;2. Intel Corporation, 2200 Mission College Blvd., Santa Clara, CA, United States;3. George Mason University, 4400 University Dr., Fairfax, VA, United States;4. University of California Davis, 1 Shields Ave., Davis, CA, United States;1. Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore;2. Singapore Institute of Manufacturing Technology, Singapore 138634, Singapore;3. School of Economics and Management, Tsinghua University, Beijing 100084, China;4. Zhigui Internet Technology, Beijing 100080, China;5. China Industrial Control Systems Cyber Emergency Response Team, Beijing 100040, China;6. Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
Abstract:Name resolution using the Domain Name System (DNS) is integral to today’s Internet. The resolution of a domain name is often dependent on namespace outside the control of the domain’s owner. In this article we review the DNS protocol and several DNS server implementations. Based on our examination, we propose a formal model for analyzing the name dependencies inherent in DNS. Using our name dependency model we derive metrics to quantify the extent to which domain names affect other domain names. It is found that under certain conditions, more than half of the queries for a domain name are influenced by namespaces not expressly configured by administrators. This result serves to quantify the degree of vulnerability of DNS due to dependencies that administrators are unaware of. When we apply metrics from our model to production DNS data, we show that the set of domains whose resolution affects a given domain name is much smaller than previously thought. However, behaviors such as using cached addresses for querying authoritative servers and chaining domain name aliases increase the number and diversity of influential domains, thereby making the DNS infrastructure more vulnerable.
Keywords:
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