Výsledky vyhledávání - "Nadhem Nemri"

Akademický článek

Hybrid stacked autoencoder with dwarf mongoose optimization for Phishing attack detection in internet of things environment

Autor: Jawhara Aljabri, Nada Alzaben, Nadhem NEMRI, Saad Alahmari, Shoayee Dlaim Alotaibi, Sana Alazwari, Alaa O. Khadidos, Anwer Mustafa Hilal

Publikováno v: Alexandria Engineering Journal, Vol 106, Iss , Pp 164-171 (2024)

With the fast development of the Internet of Things (IoTs), phishing attacks are transferring to this domain because of the number of IoT devices and private data they can handle. IoT phishing suggests the malicious practice of targeting IoT devices

Externí odkaz: https://doaj.org/article/01a35a794b5b456a8e162728ac7b8ca0

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Akademický článek

Election-based optimization algorithm with deep learning-enabled false data injection attack detection in cyber-physical systems

Autor: Hend Khalid Alkahtani, Nuha Alruwais, Asma Alshuhail, Nadhem NEMRI, Achraf Ben Miled, Ahmed Mahmud

Publikováno v: AIMS Mathematics, Vol 9, Iss 6, Pp 15076-15096 (2024)

Cyber-physical systems (CPSs) are affected by cyberattacks once they are more connected to cyberspace. Advanced CPSs are highly complex and susceptible to attacks such as false data injection attacks (FDIA) targeted to mislead the systems and make th

Externí odkaz: https://doaj.org/article/097c4c0557514c71946aef003ea2db89

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Akademický článek

Distributed Multiclass Cyberattack Detection Using Golden Jackal Optimization With Deep Learning Model for Securing IoT Networks

Autor: Fatma S. Alrayes, Nadhem Nemri, Nouf Aljaffan, Asma Alshuhail, Asma A. Alhashmi, Ahmed Mahmud

Publikováno v: IEEE Access, Vol 12, Pp 132434-132443 (2024)

Cybersecurity continues to be a significant problem for all industries involved in digital activities, and it is specified as the cyclical surge in security occurrences. Considering more Internet of Things (IoT) devices are being employed in the medi

Externí odkaz: https://doaj.org/article/abd2a6c375a24ee183a109690811c1bd

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Akademický článek

Anomaly Detection in Pedestrian Walkways for Intelligent Transportation System Using Federated Learning and Harris Hawks Optimizer on Remote Sensing Images

Autor: Manal Abdullah Alohali, Mohammed Aljebreen, Nadhem Nemri, Randa Allafi, Mesfer Al Duhayyim, Mohamed Ibrahim Alsaid, Amani A. Alneil, Azza Elneil Osman

Publikováno v: Remote Sensing, Vol 15, Iss 12, p 3092 (2023)

Anomaly detection in pedestrian walkways is a vital research area that uses remote sensing, which helps to optimize pedestrian traffic and enhance flow to improve pedestrian safety in intelligent transportation systems (ITS). Engineers and researcher

Externí odkaz: https://doaj.org/article/a441b075d42b41429603cfb0dd254f62

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Akademický článek

Explainable Artificial Intelligence Enabled TeleOphthalmology for Diabetic Retinopathy Grading and Classification

Autor: Marwa Obayya, Nadhem Nemri, Mohamed K. Nour, Mesfer Al Duhayyim, Heba Mohsen, Mohammed Rizwanullah, Abu Sarwar Zamani, Abdelwahed Motwakel

Publikováno v: Applied Sciences, Vol 12, Iss 17, p 8749 (2022)

Recently, Telehealth connects patients to vital healthcare services via remote monitoring, wireless communications, videoconferencing, and electronic consults. By increasing access to specialists and physicians, telehealth assists in ensuring patient

Externí odkaz: https://doaj.org/article/887a3596863445e5af71eaadda183e74

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Akademický článek

Computational Intelligence with Wild Horse Optimization Based Object Recognition and Classification Model for Autonomous Driving Systems

Autor: Eatedal Alabdulkreem, Jaber S. Alzahrani, Nadhem Nemri, Olayan Alharbi, Abdullah Mohamed, Radwa Marzouk, Anwer Mustafa Hilal

Publikováno v: Applied Sciences, Vol 12, Iss 12, p 6249 (2022)

Presently, autonomous systems have gained considerable attention in several fields such as transportation, healthcare, autonomous driving, logistics, etc. It is highly needed to ensure the safe operations of the autonomous system before launching it

Externí odkaz: https://doaj.org/article/5ac9e7b72efa49a6904486f6c2eea644

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Akademický článek

Optimal Machine Learning Based Privacy Preserving Blockchain Assisted Internet of Things with Smart Cities Environment

Autor: A. Al-Qarafi, Fadwa Alrowais, Saud S. Alotaibi, Nadhem Nemri, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Radwa Marzouk, Mahmoud Othman, M. Al-Shabi

Publikováno v: Applied Sciences, Vol 12, Iss 12, p 5893 (2022)

Currently, the amount of Internet of Things (IoT) applications is enhanced for processing, analyzing, and managing the created big data from the smart city. Certain other applications of smart cities were location-based services, transportation manag

Externí odkaz: https://doaj.org/article/18a0ec47fca145c7b0443f352abf3405

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