The security of communication networks can be compromised through both known and
novel attack methods. Protection against such attacks may be achieved through the use of …

Traditional network administration required manual programming of routing policies and
related parameters on specific routers and switches, which was expensive. Therefore …

The rapid growth of the Internet of Things (IoT) has created a situation where a huge amount
of sensitive data is constantly being created and sent through many devices, making data …

The advent of transformative technologies such as the Internet of Things (IoT) has brought
forth significant advancements in various sectors like smart cities, fintech, learning, and …

Intrusion detection systems are crucial to cyberattack protection. This paper presents an
intrusion detection system (IDS) architecture that uses numerous machine learning models …

Abstract The Intrusion Detection System (IDS) distinguishes the harmful entries from the
normal ones in network traffic data and aids in network security. Due to the emergence of …

The spread of false information in the digital age has led to serious threats about the veracity
and dependability of information traded online. Fake news can exacerbate social and …

Internet of Things (IoT) has achieved great recognition, in terms of identifying datasets
through feature selection to increase the performance of the IoT network. In this situation …

Intrusion detection is a cyber‐security method that is significant for network security. It is
utilized to detect behaviors that compromise security and privacy within a network or in the …

In recent years, the field of information security has seen a substantial rise in the use of
approaches that include deep learning. The implementation of deep learning strategies into …