In today's digital world, the tremendous amount of data poses a significant challenge to
cyber security. The complexity of cyber-attacks makes it difficult to develop efficient tools to …

Abstracts: Deep learning, a branch of artificial intelligence, excavates massive data sets for
patterns and predictions using a machine learning method known as artificial neural …

Given the climate change in recent decades and the ever-increasing energy consumption in
the building sector, research is widely focused on the green revolution and ecological …

The Internet of Things (IoT) has significantly benefited several businesses, but because of
the volume and complexity of IoT systems, there are also new security issues. Intrusion …

Advancements in aircraft design and production necessitate exhaustive simulations of
critical components, such as landing gear, to ensure optimal performance and safety. This …

We propose and evaluate a data-driven intrusion detection system (IDS) for the Internet of
Things (IoT) and Industrial IoT (IIoT) environments using the Edge-IIoT-2022 dataset. We …

Abstract Cross-Site Scripting (XSS) attacks continue to pose a significant threat to web
applications, compromising the security and integrity of user data. XSS is a web application …

The rapid increase in online risks is a reflection of the exponential growth of Internet of
Things (IoT) networks. Researchers have proposed numerous intrusion detection …

Special security techniques, such as intrusion detection mechanisms, are indispensable in
modern computer systems. With the emergence of the Internet of Things they have become …

Meat is a source of essential amino acids that are necessary for human growth and
development, meat can come from dead, alive, Halal, or non-Halal animal species which are …