H Kheddar - arXiv preprint arXiv:2408.07583, 2024 - arxiv.org
With significant advancements in Transformers LLMs, NLP has extended its reach into many research fields due to its enhanced capabilities in text generation and user interaction. One …
H Naeem, F Ullah, G Srivastava - Expert Systems, 2025 - Wiley Online Library
The most advanced power grid design, known as a 'smart power grid', integrates information and communication technology (ICT) with a conventional grid system to enable remote …
F Masood, MA Khan, MS Alshehri… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) integration with the Internet of Things (IoT) expands its potential by providing ideal communication and data sharing across devices, allowing more …
The increased usage of IoT networks brings about new privacy risks, especially when intrusion detection systems (IDSs) rely on large datasets for machine learning (ML) tasks …
ZS Dhahir - Journal of Future Artificial Intelligence and …, 2024 - dl.futuretechsci.org
This is one of the greatest challenges in computer network security and cannot be dealt with without a set of most recent detection techniques. This paper lays down a new hybrid …
A Momand, SU Jan, N Ramzan - Wireless Personal Communications, 2024 - Springer
This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion detection in the Internet of Things (IoT). The proposed ABCNN employs an attention …
In today's digital era, advancements in technology have led to unparalleled levels of connectivity, but have also brought forth a new wave of cyber threats. Network Intrusion …
IoT devices with limited resources, and in the absence of gateways, become vulnerable to various attacks, such as denial of service (DoS) and man-in-the-middle (MITM) attacks …