Botnets Detecting Attack Based on DNS Features

机译：僵尸网络基于DNS功能检测攻击

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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.

机译：僵尸网络被认为是威胁网络安全的严重问题。这是网络罪犯进行非法活动的一种手段。此类活动可能包括点击欺诈和DDoS攻击。本文旨在提出一种称为“枪手系统”的新过滤方法。提到的方法涉及用于检测僵尸网络的基于规则的域名系统（DNS）功能。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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来源
《2018 International Arab Conference on Information Technology》|2018年|1-4|共4页
会议地点 Werdanye(LB)
作者
Kamal Alieyan; Mohammed Anbar; Ammar Almomani; Rosni Abdullah; Mohammad Alauthman;
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作者单位

Universiti Sains Malaysia, National Advanced IPv6 Centre (NAv6), Gelugor, Penang, 11800, Malaysia;

Universiti Sains Malaysia, National Advanced IPv6 Centre (NAv6), Gelugor, Penang, 11800, Malaysia;

IT-department, Al-Huson University College Al-Balqa Applied University, P. O. Box 50, Irbid, Jordan;

Universiti Sains Malaysia, National Advanced IPv6 Centre (NAv6), Gelugor, Penang, 11800, Malaysia;

Faculty of Information Technology, Zarqa University, Zarqa, Jordan;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Botnet; Feature extraction; Principal component analysis; Monitoring; Filtering; Computers; Computer crime;

机译：僵尸网络;特征提取;主成分分析;监测;过滤;计算机;计算机犯罪;;

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1. Detecting domain-flux botnet based on DNS traffic features in managed network [J] . Dinh-Tu Truong, Cheng Guang Security and Communications Networks . 2016,第14期

机译：根据托管网络中DNS流量功能检测域通量僵尸网络
2. Feature Analysis of IoT Botnet Attacks based on RNN and LSTM [J] . Jiyeon Kim, Hyerin Won, Minsun Shim, International Journal of Engineering Trends and Technology . 2020,第4期

机译：基于RNN和LSTM的IOT僵尸网络攻击特征分析
3. A Novel Approach for Detecting DGA-Based Botnets in DNS Queries Using Machine Learning Techniques [J] . Yong Wu, Weitao Che, Bihui Huang Journal of computer networks and communications . 2021,第a期

机译：用于检测新方法在 DNS 查询僵尸网络 DGA 基于使用机器学习技术
4. Botnets Detecting Attack Based on DNS Features [C] . Kamal Alieyan, Mohammed Anbar, Ammar Almomani, International Arab Conference on Information Technology . 2018

机译：基于DNS功能检测攻击的僵尸网络
5. Botnet Detection Using Graph Based Feature Clustering [D] . Akula, Ravi Kiran. 2018

机译：使用基于图的特征聚类进行僵尸网络检测
6. Machine Learning-Based IoT-Botnet Attack Detection with Sequential Architecture [O] . Yan Naung Soe, Yaokai Feng, Paulus Insap Santosa, 2020

机译：基于机器学习的IOT-Botnet攻击检测具有顺序架构
7. Developing an efficient feature engineering and machine learning model for detecting IoT-Botnet cyber attacks [O] . Mrutyunjaya Panda, Abd Allah A. Mousa, Aboul Ella Hassanien 2021

机译：用于检测IOT-Botnet网络攻击的高效特征工程和机器学习模型

Botnets Detecting Attack Based on DNS Features

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