Botnet detection using negative selection algorithm, convolution neural network and classification methods

S Hosseini, AE Nezhad, H Seilani - Evolving Systems, 2022 - Springer
Botnet is a network and internet risk. It is necessary to detect botnet by analyzing and
monitoring in order to quickly prevent them. Most approaches are proposed to detect bots …

Detecting botnet by using particle swarm optimization algorithm based on voting system

M Asadi, MAJ Jamali, S Parsa… - Future Generation …, 2020 - Elsevier
Botnets have recently been identified as serious Internet threats that are continually
developing and expanding. Identifying botnets in the domain of network security is regarded …

Machine learning for botnet detection: An optimized feature selection approach

M Lefoane, I Ghafir, S Kabir, IU Awan - Proceedings of the 5th …, 2021 - dl.acm.org
Technological advancements have been evolving for so long, particularly Internet of Things
(IoT) technology that has seen an increase in the number of connected devices surpass non …

Multilayer framework for botnet detection using machine learning algorithms

WNH Ibrahim, S Anuar, A Selamat, O Krejcar… - IEEE …, 2021 - ieeexplore.ieee.org
A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet
can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and …

Deep learning-based classification model for botnet attack detection

AA Ahmed, WA Jabbar, AS Sadiq, H Patel - Journal of Ambient …, 2022 - Springer
Botnets are vectors through which hackers can seize control of multiple systems and
conduct malicious activities. Researchers have proposed multiple solutions to detect and …

Botnet attack detection using machine learning

M Alshamkhany, W Alshamkhany… - … on Innovations in …, 2020 - ieeexplore.ieee.org
With the advancement of computers and technology, security threats are also evolving at a
fast pace. Botnets are one such security threat which requires a high level of research and …

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 …

Comparison of machine learning algorithms and their ensembles for botnet detection

S Ryu - 2018 - search.proquest.com
A Botnet is a network of compromised devices controlled by a botmaster often for nefarious
purposes. Analyzing network traffic to detect Botnet traffic has historically been an effective …

Botnet detection approach using graph-based machine learning

A Alharbi, K Alsubhi - Ieee Access, 2021 - ieeexplore.ieee.org
Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML)
techniques have been widely used for botnet detection with flow-based features. The prime …

An efficient botnet detection with the enhanced support vector neural network

S Jagadeesan, B Amutha - Measurement, 2021 - Elsevier
As the botnet makes the way for many illegal activities, it is considered as the most critical
threats to cybersecurity. Although many detection models have been presented by the …