A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …
one another with minimal human intervention. IoT is one of the fastest developing fields in …
Detecting and preventing cyber insider threats: A survey
Information communications technology systems are facing an increasing number of cyber
security threats, the majority of which are originated by insiders. As insiders reside behind …
security threats, the majority of which are originated by insiders. As insiders reside behind …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
A comparative analysis of logistic regression, random forest and KNN models for the text classification
In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …
urgent need to organize them in a proper structure so that classification can be performed …
Building an efficient intrusion detection system based on feature selection and ensemble classifier
Y Zhou, G Cheng, S Jiang, M Dai - Computer networks, 2020 - Elsevier
Intrusion detection system (IDS) is one of extensively used techniques in a network topology
to safeguard the integrity and availability of sensitive assets in the protected systems …
to safeguard the integrity and availability of sensitive assets in the protected systems …
A novel deep learning method for detection and classification of plant diseases
The agricultural production rate plays a pivotal role in the economic development of a
country. However, plant diseases are the most significant impediment to the production and …
country. However, plant diseases are the most significant impediment to the production and …
Deep learning approach combining sparse autoencoder with SVM for network intrusion detection
M Al-Qatf, Y Lasheng, M Al-Habib, K Al-Sabahi - Ieee Access, 2018 - ieeexplore.ieee.org
Network intrusion detection systems (NIDSs) provide a better solution to network security
than other traditional network defense technologies, such as firewall systems. The success …
than other traditional network defense technologies, such as firewall systems. The success …
Enhanced network anomaly detection based on deep neural networks
Due to the monumental growth of Internet applications in the last decade, the need for
security of information network has increased manifolds. As a primary defense of network …
security of information network has increased manifolds. As a primary defense of network …
An experimental analysis of attack classification using machine learning in IoT networks
In recent years, there has been a massive increase in the amount of Internet of Things (IoT)
devices as well as the data generated by such devices. The participating devices in IoT …
devices as well as the data generated by such devices. The participating devices in IoT …
SemiACO: A semi-supervised feature selection based on ant colony optimization
Feature selection is one of the most efficient procedures for reducing the dimensionality of
high-dimensional data by choosing a practical subset of features. Since labeled samples are …
high-dimensional data by choosing a practical subset of features. Since labeled samples are …