2012Unpublished venueRequires access

Towards active measurement for DNS query behavior of botnets

Xiaobo Ma, Jianfeng Li, Jing Tao, Xiaohong Guan

Open publisher page 3 citations

Abstract

Domain names play an increasingly important role for the botnet activities. Traditionally, DNS traces from several local DNS servers are used passively to measure the DNS query behavior. However, since botnets are a wide-scale threat and usually reside in geographically dispersed networks, the vantage point of several local DNS servers is sometimes too small to help us understand the DNS query behavior (e.g., whether queried or not, average query rate) of botnets. In this paper, we actively measure the DNS query behavior of botnets in geographically dispersed networks via the DNS cache probing technique. We first analytically characterize how multiple domain names are queried by botnets in different networks under certain circumstances. Then, we actively measure real botnet samples in the wild to gain insight into how multiple domain names are queried by botnets in 480 geographically dispersed networks globally, and show that our analytical characterization well describes the DNS query behavior of the botnet samples. The active measurement technique can help to acquire extensive DNS query information in different networks and thus potentially facilitate various DNS-related research and applications.

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What this paper is about

Domain names play an increasingly important role for the botnet activities. Traditionally, DNS traces from several local DNS servers are used passively to measure the DNS query behavior. However, since botnets are a wide-scale threat and usually reside in geographically dispersed networks, the vantage point of several local DNS servers is sometimes too small to help us understand the DNS query behavior (e.g., whether queried or not, average query rate) of botnets. In this paper, we actively measure the DNS query behavior of botnets in geographically dispersed networks via the DNS cache probing technique. We first analytically characterize how multiple domain names are queried by botnets in different networks under certain circumstances. Then, we actively measure real botnet samples in the wild to gain insight into how multiple domain names are queried by botnets in 480 geographically dispersed networks globally, and show that our analytical characterization well describes the DNS query behavior of the botnet samples. The active measurement technique can help to acquire extensive DNS query information in different networks and thus potentially facilitate various DNS-related research and applications.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Domain names play an increasingly important role for the botnet activities. Traditionally, DNS traces from several local DNS servers are used passively to measure the DNS query behavior. However, since botnets are a wide-scale threat and usually reside in geographically dispersed networks, the vantage point of several local DNS servers is sometimes too small to help us understand the DNS query behavior (e.g., whether queried or not, average query rate) of botnets. In this paper, we actively measure the DNS query behavior of botnets in geographically dispersed networks via the DNS cache probing technique. We first analytically characterize how multiple domain names are queried by botnets in different networks under certain circumstances. Then, we actively measure real botnet samples in the wild to gain insight into how multiple domain names are queried by botnets in 480 geographically dispersed networks globally, and show that our analytical characterization well describes the DNS query behavior of the botnet samples. The active measurement technique can help to acquire extensive DNS query information in different networks and thus potentially facilitate various DNS-related research and applications.

Key concepts: Botnet, Domain Name System, Computer science, Name server, Server, Computer network, Computer security, World Wide Web

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