Performance analysis of DGA-driven botnets using artificial neural networks

N Manikandan, D Ruby, S Murali… - 2022 10th International …, 2022 - ieeexplore.ieee.org
A botnet is a network of devices infected with malware and controlled remotely by a person
with malicious intent. Botnets can launch attacks to steal data, perform phishing, spamming …

DGA botnet detection using supervised learning methods

H Mac, D Tran, V Tong, LG Nguyen… - Proceedings of the 8th …, 2017 - dl.acm.org
Modern botnets are based on Domain Generation Algorithms (DGAs) to build a resilient
communication between bots and Command and Control (C&C) server. The basic aim is to …

DBod: Clustering and detecting DGA-based botnets using DNS traffic analysis

TS Wang, HT Lin, WT Cheng, CY Chen - Computers & Security, 2017 - Elsevier
Botnets are one of the leading threats to network security nowadays and are used to conduct
a wide variety of malicious activities, including information theft, phishing, spam mail …

DBD: Deep learning DGA-based botnet detection

R Vinayakumar, KP Soman, P Poornachandran… - … learning applications for …, 2019 - Springer
Botnets play an important role in malware distribution and they are widely used for
spreading malicious activities in the Internet. The study of the literature shows that a large …

[HTML][HTML] DGA-based botnets detection using DNS traffic mining

AM Manasrah, T Khdour, R Freehat - Journal of King Saud University …, 2022 - Elsevier
Botnet is a network of infected workstations that are remotely managed by BotMaster via the
command and control (C&C) server. Botnets pose a serious threat to network security since …

[PDF][PDF] Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic

S Al-Mashhadi, M Anbar, I Hasbullah… - PeerJ Computer …, 2021 - peerj.com
Botnets can simultaneously control millions of Internet-connected devices to launch
damaging cyber-attacks that pose significant threats to the Internet. In a botnet, bot-masters …

DGA botnet detection using collaborative filtering and density-based clustering

TD Nguyen, TD Cao, LG Nguyen - … of the 6th International Symposium on …, 2015 - dl.acm.org
In recent years, the botnet phenomenon is one of the most dangerous threat to Internet
security, which supports a wide range of criminal activities, including distributed denial of …

A survey of botnet detection based on DNS

K Alieyan, A ALmomani, A Manasrah… - Neural Computing and …, 2017 - Springer
Botnet is a thorny and a grave problem of today's Internet, resulting in economic damage for
organizations and individuals. Botnet is a group of compromised hosts running malicious …

A method for detecting DGA botnet based on semantic and cluster analysis

V Tong, G Nguyen - Proceedings of the 7th Symposium on Information …, 2016 - dl.acm.org
Botnets play major roles in a vast number of threats to network security, such as DDoS
attacks, generation of spam emails, information theft. Detecting Botnets is a difficult task in …

An improved model for detecting DGA botnets using random forest algorithm

XD Hoang, XH Vu - Information Security Journal: A Global …, 2022 - Taylor & Francis
Recently, detecting botnets and especially DGA botnets has been the research interest of
many researchers worldwide because of botnets' wide spreading, high sophistication and …