Securing smart agriculture networks using bio-inspired feature selection and transfer learning for effective image-based intrusion detection
The smart agricultural system integrates advanced technologies to optimize farming
practices and increase productivity. It gathers images from sensors, drones, and other …
practices and increase productivity. It gathers images from sensors, drones, and other …
Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
A Gueriani, H Kheddar, AC Mazari - arxiv preprint arxiv:2501.13962, 2025 - arxiv.org
The rapid expansion of the industrial Internet of things (IIoT) has introduced new challenges
in securing critical infrastructures against sophisticated cyberthreats. This study presents the …
in securing critical infrastructures against sophisticated cyberthreats. This study presents the …
Attention-Based Hybrid Deep Learning Model for Intrusion Detection in IIoT Networks
Abstract The integration of Industrial Internet of Things (IIoT) technology into the industrial
sector has produced numerous significant advantages. However, the notable concern …
sector has produced numerous significant advantages. However, the notable concern …
Enhanced Intrusion Detection in IIoT Networks: A Lightweight Approach with Autoencoder-Based Feature Learning
The rapid expansion of the Industrial Internet of Things (IIoT) has significantly advanced
digital technologies and interconnected industrial systems, creating substantial opportunities …
digital technologies and interconnected industrial systems, creating substantial opportunities …
Privacy-Preserving in Agricultural IoT: Intrusion Detection Using Federated Learning and CNN
The Agricultural Internet of Things (AIoT) network integrates agriculture with IoT to enhance
productivity and improve quality. This infrastructure connects many devices, facilitating …
productivity and improve quality. This infrastructure connects many devices, facilitating …
An Explainable CNN-based Intrusion Detection System for Enhanced Smart Grid Security
The evolution from traditional power grids to smart grids, driven by the wide adoption and
rapid integration of advanced sensing and communication technologies, introduces new …
rapid integration of advanced sensing and communication technologies, introduces new …
A HYBRID CHEETAH AND GREY WOLF OPTIMIZATION ALGORITHM FOR NETWORK INTRUSION DETECTION
D Kumari, P Pranav, A Sinha… - Engineering Research …, 2025 - iopscience.iop.org
In the rapidly evolving field of cybersecurity, anomaly detection continues to be a crucial
challenge for identifying and preventing potential threats. This study presents an innovative …
challenge for identifying and preventing potential threats. This study presents an innovative …
Cyber Attacks Detection in Network Using Deep Learning Techniques
D Sameera, G Koushik, I Shaik… - 2024 10th International …, 2024 - ieeexplore.ieee.org
In today's digitally saturated era, cybersecurity emerges as a paramount concern, given the
looming Specter of cyber-attacks. This paper ventures into the realm where cybersecurity …
looming Specter of cyber-attacks. This paper ventures into the realm where cybersecurity …
A Quick Survey to Enhance IoT Security: The Role of Intrusion Detection Systems in Addressing Cyber Threats
J Sultana - … : Global Advances in Multidisciplinary Applications in …, 2025 - gamanamspmvv.in
The rapid growth of Internet of Things (IoT) devices has transformed industries like
healthcare and smart cities by improving connectivity and efficiency. However, this …
healthcare and smart cities by improving connectivity and efficiency. However, this …