Intrusion detection for the internet of things (IoT) based on the emperor penguin colony optimization algorithm

M Alweshah, A Hammouri, S Alkhalaileh… - Journal of Ambient …, 2023 - Springer
Abstract In the Internet of Things (IoT), the data that are sent via devices are sometimes
unrelated, duplicated, or erroneous, which makes it difficult to perform the required tasks …

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 …

[PDF][PDF] Botnet attack detection in internet of things using optimization techniques

S Rethinavalli, R Gopinath - International Journal of Electrical …, 2020 - researchgate.net
The corporation is currently operating in a hyper-connected world in which scores of
heterogeneous devices are constantly sharing information in a variety of application …

Towards Ensemble Feature Selection for Lightweight Intrusion Detection in Resource-Constrained IoT Devices

M Fatima, O Rehman, IMH Rahman, A Ajmal, SJ Park - Future Internet, 2024 - mdpi.com
The emergence of smart technologies and the wide adoption of the Internet of Things (IoT)
have revolutionized various sectors, yet they have also introduced significant security …

[PDF][PDF] Automatic generation of image caption based on semantic relation using deep visual attention prediction

MM El-Gayar - … Journal of Advanced Computer Science and …, 2023 - researchgate.net
While modern systems for managing, retrieving, and analyzing images heavily rely on
deriving semantic captions to categorize images, this task presents a considerable …

[HTML][HTML] Smart Collaborative Intrusion Detection System for Securing Vehicular Networks Using Ensemble Machine Learning Model

MM El-Gayar, FAF Alrslani, S El-Sappagh - Information, 2024 - mdpi.com
The advent of the Fourth Industrial Revolution has positioned the Internet of Things as a
pivotal force in intelligent vehicles. With the source of vehicle-to-everything (V2X), Internet of …

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 …

Semantic Pneumonia Segmentation and Classification for Covid-19 Using Deep Learning Network.

MM Lotfy, HM El-Bakry, MM Elgayar… - Computers …, 2022 - search.ebscohost.com
Early detection of the Covid-19 disease is essential due to its higher rate of infection
affecting tens of millions of people, and its high number of deaths also by 7%. For that …

Enhancing IoT Security: A Deep Learning and Active Learning Approach to Intrusion Detection

HF Mahdi, BJ Khadhim - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
In response to the escalating demand for robust security solutions in increasingly complex
Internet of Things (IoT) networks, this study introduces an advanced Intrusion Detection …

[PDF][PDF] Comparative study between metaheuristic algorithms for internet of things wireless nodes localization

RJ Mohammed, EA Abed, MM Elgayar - International Journal of …, 2022 - academia.edu
Wireless networks are currently used in a wide range of healthcare, military, or
environmental applications. Wireless networks contain many nodes and sensors that have …