Context Recent years have seen a lot of attention into Deep Learning (DL) techniques used
to detect cybersecurity attacks. DL techniques can swiftly analyze massive datasets, and …

The Internet of Things (IoT) is a technological revolution that enables human-to-human and
machine-to-machine communication for virtual data exchange. The IoT allows us to identify …

There are growing concerns on the security of communication networks of Cyber Physical
Systems (CPSs). In a typical Cyber Physical System (CPS), the plant, actuators, sensors and …

In recent years, there has been significant growth in the popularity of online social networks,
with a corresponding increase in the volume of information shared over the web. Text, audio …

To enhance the quality and speed of data processing and protect the privacy and security of
the data, edge computing has been extensively applied to support data‐intensive intelligent …

This paper presents an approach for tuning hyperparameters in Convolutional Neural
Networks (CNNs) by adopting evolutionary algorithms, ie, Genetic Algorithms (GAs). CNNs …

In the modern digital era, organizations across the globe are being assaulted by rapid cyber-
attacks. As a result, early intruder detection within organizational networks is essential to …

In recent years, predicting network intrusions has been a serious research concern in the
academia and industry due to the expanding attack surfaces. This unending trend of threat …

Static cyphers use static transformations for encryption and decryption. Therefore, the
attacker will have some knowledge that can be exploited to construct assaults since the …

IoT represents a significant technological advancement that facilitates the seamless
exchange of digital information through interconnected devices. This transformative …