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ORCIDShaza Dawood Ahmed Rihan
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2020 – today
- 2024
[j8]Yahya Alhaj Maz, Mohammed Anbar
, Selvakumar Manickam, Shaza Dawood Ahmed Rihan, Basim Ahmad Alabsi, Osama M. Dorgham:
Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things. IEEE Access 12: 19860-19871 (2024)- [j7]Nadia Alfriehat, Mohammed Anbar, Shankar Karuppayah, Shaza Dawood Ahmed Rihan, Basim Ahmad Alabsi, Alaa M. Momani:
Detecting Version Number Attacks in Low Power and Lossy Networks for Internet of Things Routing: Review and Taxonomy. IEEE Access 12: 31136-31158 (2024) - 2023
- [j6]Shadi Al-Sarawi, Mohammed Anbar, Basim Ahmad Alabsi, Mohammad Adnan Aladaileh, Shaza Dawood Ahmed Rihan:
Passive Rule-Based Approach to Detect Sinkhole Attack in RPL-Based Internet of Things Networks. IEEE Access 11: 94081-94093 (2023) - [j5]Basim Ahmad Alabsi, Mohammed Anbar, Shaza Dawood Ahmed Rihan:
Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks. Sensors 23(12): 5644 (2023) - [j4]Basim Ahmad Alabsi, Mohammed Anbar, Shaza Dawood Ahmed Rihan:
CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks. Sensors 23(14): 6507 (2023) - [j3]Shaza Dawood Ahmed Rihan, Mohammed Anbar, Basim Ahmad Alabsi:
Approach for Detecting Attacks on IoT Networks Based on Ensemble Feature Selection and Deep Learning Models. Sensors 23(17): 7342 (2023) - [j2]Shaza Dawood Ahmed Rihan, Mohammed Anbar, Basim Ahmad Alabsi:
Meta-Learner-Based Approach for Detecting Attacks on Internet of Things Networks. Sensors 23(19): 8191 (2023) - [j1]Amran Mansoor, Mohammed Anbar, Abdullah Ahmed Bahashwan, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan:
Deep Learning-Based Approach for Detecting DDoS Attack on Software-Defined Networking Controller. Syst. 11(6): 296 (2023)
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