An approach to evaluation of common DNS misconfigurations
Petar D. Bojovi\'c, Slavko Gajin

TL;DR
This paper presents a methodology and tool for testing, analyzing, and classifying DNS misconfigurations, revealing high error rates especially in academic and national domains, and demonstrating that fixing few name servers can improve many domains.
Contribution
It introduces a novel methodology and tool for systematic evaluation of DNS misconfigurations across different domain categories.
Findings
High percentage of misconfigured domains, especially in academic and national categories.
Fixing a small number of name servers can significantly improve overall domain configuration.
Proper management and collaboration can enhance DNS security and stability.
Abstract
DNS is a basic Internet service which almost all other user services depend on. However, what has been perceived in practice are a lot of inconsistencies and errors in the configuration of servers that cause different problems. The majority of such cases are included in this research with the aim of identifying and classifying the major problems of DNS availability, performance and security. In order to analyze these problems in correlation with DNS administrators working practice, we have developed a methodology and tool for testing, quantifying and analysis of DNS misconfigurations. The methodology and tool were applied on three heterogeneous domain categories - the most popular Internet domains, academic domains and one national top level domain. Our results confirm relatively high percentage of misconfigured domains, especially in the academic and national categories. However, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIPv6, Mobility, Handover, Networks, Security · Caching and Content Delivery · Mobile Agent-Based Network Management
