2010USENIX conference on Large-scale exploits and emergent threatsRequires access

Extending black domain name list by using co-occurrence relation between DNS queries

Kazumichi Sato, Keisuke Ishibashi, Tsuyoshi Toyono, Nobuhisa Miyake

Open publisher page 21 citations

Abstract

The Botnet threats, such as server attacks or sending of spam email, have been increasing. A method of using a blacklist of domain names has been proposed to find infected hosts. However, not all infected hosts may be found by this method because a blacklist does not cover all black domain names. In this paper, we present a method for finding unknown black domain names and extend the blacklist by using DNS traffic data and the original blacklist of known black domain names. We use co-occurrence relation of two different domain names to find unknown black domain names and extend a blacklist. If a domain name co-occurs with a known black name frequently, we assume that the domain name is also black. We evaluate the proposed method by cross validation, about 91 % of domain names that are in the validation list can be found as top 1 %.

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What this paper is about

The Botnet threats, such as server attacks or sending of spam email, have been increasing. A method of using a blacklist of domain names has been proposed to find infected hosts. However, not all infected hosts may be found by this method because a blacklist does not cover all black domain names. In this paper, we present a method for finding unknown black domain names and extend the blacklist by using DNS traffic data and the original blacklist of known black domain names. We use co-occurrence relation of two different domain names to find unknown black domain names and extend a blacklist. If a domain name co-occurs with a known black name frequently, we assume that the domain name is also black. We evaluate the proposed method by cross validation, about 91 % of domain names that are in the validation list can be found as top 1 %.

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OpenAlex reports 21 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The Botnet threats, such as server attacks or sending of spam email, have been increasing. A method of using a blacklist of domain names has been proposed to find infected hosts. However, not all infected hosts may be found by this method because a blacklist does not cover all black domain names. In this paper, we present a method for finding unknown black domain names and extend the blacklist by using DNS traffic data and the original blacklist of known black domain names. We use co-occurrence relation of two different domain names to find unknown black domain names and extend a blacklist. If a domain name co-occurs with a known black name frequently, we assume that the domain name is also black. We evaluate the proposed method by cross validation, about 91 % of domain names that are in the validation list can be found as top 1 %.

Key concepts: Blacklist, Domain name, Domain (mathematical analysis), Blacklisting, Relation (database), Computer science, Domain Name System, Botnet

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