Developing an efficient feature engineering and machine learning model for detecting IoT-botnet cyber attacks
M Panda, AM Abd Allah, AE Hassanien - IEEE Access, 2021 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) systems and smart digital devices, has perceived
them targeted by network attacks. Botnets are vectors buttoned up which the attackers …
them targeted by network attacks. Botnets are vectors buttoned up which the attackers …
Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection
Recently, the number of Internet of Things (IoT) botnet attacks has increased tremendously
due to the expansion of online IoT devices which can be easily compromised. Botnets are a …
due to the expansion of online IoT devices which can be easily compromised. Botnets are a …
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 …
spreading malicious activities in the Internet. The study of the literature shows that a large …
Detection of Mirai Botnet Attacks on IoT devices Using Deep Learning
A Sharma, V Mansotra, K Singh - Journal of Scientific Research and …, 2023 - jsrtjournal.com
Abstract The Internet of Things is a staple in the workplace, especially in the fields of office
automation (OA) and operational technology (OT). As a consequence, businesses may set …
automation (OA) and operational technology (OT). As a consequence, businesses may set …
[HTML][HTML] A Fuzzy Logic based feature engineering approach for Botnet detection using ANN
In recent years, Botnet has become one of the most dreadful type of malicious entity.
Because of the hidden and carrying capacity of Botnet, the detection task has become a real …
Because of the hidden and carrying capacity of Botnet, the detection task has become a real …
Efficient detection of botnet traffic by features selection and decision trees
J Velasco-Mata, V González-Castro… - IEEE …, 2021 - ieeexplore.ieee.org
Botnets are one of the online threats with the most significant presence, causing billionaire
losses to global economies. Nowadays, the increasing number of devices connected to the …
losses to global economies. Nowadays, the increasing number of devices connected to the …
DGA botnet detection using supervised learning methods
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 …
communication between bots and Command and Control (C&C) server. The basic aim is to …
Botnet detection in the internet of things using deep learning approaches
CD McDermott, F Majdani… - 2018 international joint …, 2018 - ieeexplore.ieee.org
The recent growth of the Internet of Things (IoT) has resulted in a rise in IoT based DDoS
attacks. This paper presents a solution to the detection of botnet activity within consumer IoT …
attacks. This paper presents a solution to the detection of botnet activity within consumer IoT …
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 …
techniques have been widely used for botnet detection with flow-based features. The prime …