Botnets Detecting Attack Based on DNS Features

Kamal Alieyan, Mohammed Anbar, Ammar Almomani, R. Abdullah, Mohammad Alauthman
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引用次数: 7

Abstract

A botnet is considered a serious issue that threatens cyber security. It is a mean used by cybercriminals for carrying out their illegal activities. Such activities may include click fraud and DDoS attacks. The present paper aims to propose a new filtering approach called “The Gunner System”. The mentioned approach involves rule-based Domain Name System (DNS) features for detecting botnets. Through this approach, the researchers expect that the accuracy of the DNS-based botnet detection will be enhanced.
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基于DNS特征的僵尸网络检测攻击
僵尸网络被认为是威胁网络安全的严重问题。这是网络犯罪分子进行非法活动的手段。这些活动可能包括点击欺诈和DDoS攻击。本文旨在提出一种新的滤波方法,称为“炮手系统”。上述方法涉及用于检测僵尸网络的基于规则的域名系统(DNS)特性。通过这种方法,研究人员期望基于dns的僵尸网络检测的准确性将得到提高。
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