Ensemble adaboost classifier for accurate and fast detection of botnet attacks in connected vehicles

A Rehman Javed, Z Jalil… - Transactions on …, 2022 - Wiley Online Library
The key characteristic of smart cities (ie, connectivity and intelligence) has enabled
connected vehicles to work together to accomplish complex jobs that they are unable to …

A visualized botnet detection system based deep learning for the internet of things networks of smart cities

R Vinayakumar, M Alazab, S Srinivasan… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Internet of Things applications for smart cities have currently become a primary target for
advanced persistent threats of botnets. This article proposes a botnet detection system …

[HTML][HTML] A novel ensemble method for enhancing Internet of Things device security against botnet attacks

A Arshad, M Jabeen, S Ubaid, A Raza… - Decision Analytics …, 2023 - Elsevier
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …

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 …

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 …

Network flow based IoT botnet attack detection using deep learning

S Sriram, R Vinayakumar, M Alazab… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Governments around the globe are promoting smart city applications to enhance the quality
of daily-life activities in urban areas. Smart cities include internet-enabled devices that are …

A comparative analysis of machine learning techniques for botnet detection

A Bansal, S Mahapatra - … of the 10th international conference on security …, 2017 - dl.acm.org
Day by day more and more devices are getting connected to the Internet and with the advent
of the Internet of Things, this rate has had an exponential growth. The lack of security in …

Botnet attack detection in Internet of Things devices over cloud environment via machine learning

M Waqas, K Kumar, AA Laghari… - Concurrency and …, 2022 - Wiley Online Library
With the arrival of the Internet of Things (IoT) many devices such as sensors, nowadays can
communicate with each other and share data easily. However, the IoT paradigm is prone to …

Botnet attack detection using local global best bat algorithm for industrial internet of things

A Alharbi, W Alosaimi, H Alyami, HT Rauf… - Electronics, 2021 - mdpi.com
The need for timely identification of Distributed Denial-of-Service (DDoS) attacks in the
Internet of Things (IoT) has become critical in minimizing security risks as the number of IoT …

Botnet traffic identification using neural networks

R Biswas, S Roy - Multimedia Tools and Applications, 2021 - Springer
Advancement of information and communication techniques have led to share big amount of
information which is increasing day by day through online activities and creating new added …