Hybrid deep learning for botnet attack detection in the internet-of-things networks
Deep learning (DL) is an efficient method for botnet attack detection. However, the volume of
network traffic data and memory space required is usually large. It is, therefore, almost …
network traffic data and memory space required is usually large. It is, therefore, almost …
[HTML][HTML] smote-drnn: A deep learning algorithm for botnet detection in the internet-of-things networks
Nowadays, hackers take illegal advantage of distributed resources in a network of
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
Federated deep learning for zero-day botnet attack detection in IoT-edge devices
Deep learning (DL) has been widely proposed for botnet attack detection in Internet of
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
Intrusion detection system for iot botnet attacks using deep learning
J Shareena, A Ramdas, H AP - SN Computer Science, 2021 - Springer
The IoT industry is seen intensifying its presence along these recent years. Since IoT
devices are small and heterogeneous they can easily fall prey to the cyberattacks. Handling …
devices are small and heterogeneous they can easily fall prey to the cyberattacks. Handling …
Botnet attack detection in iot using machine learning
There are an increasing number of Internet of Things (IoT) devices connected to the network
these days, and due to the advancement in technology, the security threads and …
these days, and due to the advancement in technology, the security threads and …
Botnet attack detection in Internet of Things devices over cloud environment via machine learning
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 …
communicate with each other and share data easily. However, the IoT paradigm is prone to …
Detection of botnet attacks against industrial IoT systems by multilayer deep learning approaches
Industry 4.0 is the next revolution in manufacturing technology that is going to change the
production and distribution of goods and services within the following decade. Powered by …
production and distribution of goods and services within the following decade. Powered by …
Machine learning for botnet detection: An optimized feature selection approach
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 …
(IoT) technology that has seen an increase in the number of connected devices surpass non …
Hybrid deep-learning model to detect botnet attacks over internet of things environments
MY Alzahrani, AM Bamhdi - Soft Computing, 2022 - Springer
In recent years, the use of the internet of things (IoT) has increased dramatically, and
cybersecurity concerns have grown in tandem. Cybersecurity has become a major …
cybersecurity concerns have grown in tandem. Cybersecurity has become a major …
Securing industrial internet of things against botnet attacks using hybrid deep learning approach
Industrial Internet of Things (IIoT) formation of a richer ecosystem of intelligent,
interconnected devices while enabling new levels of digital innovation has transformed and …
interconnected devices while enabling new levels of digital innovation has transformed and …