Botnet in DDoS attacks: trends and challenges

N Hoque, DK Bhattacharyya… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
Threats of distributed denial of service (DDoS) attacks have been increasing day-by-day due
to rapid development of computer networks and associated infrastructure, and millions of …

Botnets: A survey

SSC Silva, RMP Silva, RCG Pinto, RM Salles - Computer Networks, 2013 - Elsevier
Botnets, which are networks formed by malware-compromised machines, have become a
serious threat to the Internet. Such networks have been created to conduct large-scale …

An efficient reinforcement learning-based Botnet detection approach

M Alauthman, N Aslam, M Al-Kasassbeh… - Journal of Network and …, 2020 - Elsevier
The use of bot malware and botnets as a tool to facilitate other malicious cyber activities (eg
distributed denial of service attacks, dissemination of malware and spam, and click fraud) …

DNS rule-based schema to botnet detection

K Alieyan, A Almomani, M Anbar… - Enterprise Information …, 2021 - Taylor & Francis
Botnets are considered a serious issue today. They have several negative economic
impacts as well. Such impacts are affecting organizations and individuals. Recent botnets …

A taxonomy of botnet behavior, detection, and defense

S Khattak, NR Ramay, KR Khan… - … surveys & tutorials, 2013 - ieeexplore.ieee.org
A number of detection and defense mechanisms have emerged in the last decade to tackle
the botnet phenomenon. It is important to organize this knowledge to better understand the …

Botnet detection using graph-based feature clustering

S Chowdhury, M Khanzadeh, R Akula, F Zhang… - Journal of Big Data, 2017 - Springer
Detecting botnets in a network is crucial because bots impact numerous areas such as cyber
security, finance, health care, law enforcement, and more. Botnets are becoming more …

Machine learning-based botnet detection in software-defined network: A systematic review

K Shinan, K Alsubhi, A Alzahrani, MU Ashraf - Symmetry, 2021 - mdpi.com
In recent decades, the internet has grown and changed the world tremendously, and this, in
turn, has brought about many cyberattacks. Cybersecurity represents one of the most …

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 …

Performance analysis of CNN frameworks for GPUs

H Kim, H Nam, W Jung, J Lee - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Thanks to modern deep learning frameworks that exploit GPUs, convolutional neural
networks (CNNs) have been greatly successful in visual recognition tasks. In this paper, we …

A P2P Botnet detection scheme based on decision tree and adaptive multilayer neural networks

M Alauthaman, N Aslam, L Zhang, R Alasem… - Neural Computing and …, 2018 - Springer
In recent years, Botnets have been adopted as a popular method to carry and spread many
malicious codes on the Internet. These malicious codes pave the way to execute many …