Surveying neuro-symbolic approaches for reliable artificial intelligence of things

Z Lu, I Afridi, HJ Kang, I Ruchkin, X Zheng - Journal of Reliable Intelligent …, 2024 - Springer
Abstract The integration of Artificial Intelligence (AI) with the Internet of Things (IoT), known
as the Artificial Intelligence of Things (AIoT), enhances the devices' processing and analysis …

Transformers and large language models for efficient intrusion detection systems: A comprehensive survey

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 …

Classification of intrusion cyber‐attacks in smart power grids using deep ensemble learning with metaheuristic‐based optimization

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 …

[HTML][HTML] Artificial Intelligence-based intrusion detection system for V2V communication in vehicular adhoc networks

A Khalil, H Farman, MM Nasralla, B Jan… - Ain Shams Engineering …, 2024 - Elsevier
Abstract Vehicular Adhoc Networks (VANETs) enable vehicle-infrastructure communication,
enhancing Intelligent Transportation Systems (ITS). Vehicles interconnect wirelessly to …

AI-based wireless sensor IoT networks for energy-efficient consumer electronics using stochastic optimization

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 …

[HTML][HTML] Privacy-Preserving Synthetic Data Generation Method for IoT-Sensor Network IDS Using CTGAN

S Alabdulwahab, YT Kim, Y Son - Sensors, 2024 - mdpi.com
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 …

A hybrid approach for efficient DDoS detection in network traffic using CBLOF-based feature engineering and XGBoost

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 …

ABCNN-IDS: attention-based convolutional neural network for intrusion detection in IoT networks

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 …

[HTML][HTML] An optimized ensemble model with advanced feature selection for network intrusion detection

A Ahmed, M Asim, I Ullah, AA Ateya - PeerJ Computer Science, 2024 - peerj.com
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 …

[HTML][HTML] Embedding Tree-Based Intrusion Detection System in Smart Thermostats for Enhanced IoT Security

A Javed, MN Awais, AH Qureshi, M Jawad, J Arshad… - Sensors, 2024 - mdpi.com
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 …