Denial of service (DoS) attack is one of the prevalent security threats in today's digital world.
A significant number of machine learning algorithms have been applied for detection of DoS …

Abstract The suggested classifier, Gated Recurrent Unit Neural Network, is utilised to
produce the appropriate classification in this research. It is based on Bidirectional weighted …

As the cloud services market grows, cloud management tools that detect network anomalies
in a non-intrusive manner are critical to improve users' experience of cloud services …

One of the most common internet attacks causing significant economic losses in recent
years is the Denial of Service (DoS) flooding attack. As a countermeasure, intrusion …

The well-known datasets lack updating new types of attacks to enhance the detection of
such sophisticated attacks. The research also presents the first application of a realistic …

Internet has become daily routine of the world in the present generation, there is no
individual who has no internet access. The increase in usage of internet has also increased …

Most industries and societies couldn't function without industrial control systems (ICSs). If
they collapse, it might have a major effect on the economy and on people's lives. This makes …

With the advancing trends in the field of information technology, the data users were
subjected to face differernt of attacks. Hence effective and prompt detection of malicious …

Satellite Internet (SI) is an essential component of 6G as an effective supplement to
terrestrial Internet in the future. Owing to its relatively limited processing power and …

In recent years, cyberspace has been filled with cyber-attacks such as denial of service
(DoS) attacks, information phishing, financial fraud, spam and so on. One of the most …