A hybrid approach for efficient feature selection in anomaly intrusion detection for IoT networks

AG Ayad, NA Sakr, NA Hikal - The Journal of Supercomputing, 2024 - Springer
The exponential growth of Internet of Things (IoT) devices underscores the need for robust
security measures against cyber-attacks. Extensive research in the IoT security community …

Blockchain and FL-based secure architecture for enhanced external Intrusion detection in smart farming

SK Singh, M Kumar, A Khanna… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Smart farming influences advanced technologies to optimize agricultural procedures, yet it
meets significant cybersecurity challenges, particularly in External Intrusion Detection (EID) …

A novel approach detection for IIoT attacks via artificial intelligence

G Karacayılmaz, H Artuner - Cluster Computing, 2024 - Springer
Abstract The Industrial Internet of Things (IIoT) is a paradigm that enables the integration of
cyber-physical systems in critical infrastructures, such as power grids, water distribution …

A Hybrid Feature Selection Model for Anomaly-Based Intrusion Detection in IoT Networks

AG Ayad, NA Sakr, NA Hikal - … Conference (ITC-Egypt), 2024 - ieeexplore.ieee.org
The ubiquity of the Internet of Things (IoT) network in current trends highlights its integration
of billions of interconnected devices and individuals, fostering communication, data sharing …

A Hybrid Machine Learning‐Based Data‐Centric Cybersecurity Detection in the 5G‐Enabled IoT

L Zeng, Y An, H Zhou, Q Luo, Y Lin… - Security and …, 2024 - Wiley Online Library
By increasing smart objects as high‐potential computing devices and 5G technology, the
Internet of Things (IoT) has emerging technology to provide a data‐centric infrastructure for …

A novel cyber threat intelligence platform for evaluating the risk associated with smart agriculture

NN Thilakarathne, MSA Bakar, PE Abas, H Yassin - Scientific Reports, 2025 - nature.com
The rapid proliferation of Internet of Things (IoT) devices has brought about a profound
transformation in our daily lives and work environments. However, this proliferation has also …

[PDF][PDF] Enhancing network security: an intrusion detection system using residual network-based convolutional neural network

S Farhan, J Mubashir, YU Haq, T Mahmood… - Cluster …, 2025 - researchgate.net
With the rapid growth of cyber threats, traditional Intrusion Detection Systems (IDS) face
limitations in accurately detecting evolving and diverse attack types. These systems often …

[PDF][PDF] Revolutionizing Customer Service: The Power of Web ChatBot

MP Kumar, A Chandel, A Dua, A Giri - IRSD2024, 2023 - academia.edu
In today's digital landscape, customer service is a critical differentiator for businesses. Web
chatbots, powered by artificial intelligence (AI), are rapidly transforming the way companies …

Towards Operational Intrusion Detection Systems Dedicated to Agriculture: Challenges and Requirements

L Bobelin, U Isah - 19th International Conference on Risks and Security …, 2024 - hal.science
The recent advances in technologies such as Artificial Intelligence, Internet of Things (IoT),
automated drones and embedded systems has involved tremendous changes in many …

A Systematic Analysis of Internet of Things (Iot) Powered Smart Vehicle Tracking and Accident Identification

S Dalal - papers.ssrn.com
This study investigates IoT technology's performance, problems, and opportunities in smart
automobile monitoring and accident warning systems. These systems are evaluated using …