An efficient approach to online bot detection based on a reinforcement learning technique. - Mohammad Alauthman (2016)

Botnets Detecting Attack Based on DNS Features. - Kamal Alieyan; Mohammed Anbar; Ammar Almomani; Rosni Abdullah; Mohammad Alauthman (ACIT, 2018)

An Online Intrusion Detection System to Cloud Computing Based on Neucube Algorithms. - Ammar Almomani; Mohammad Alauthman; Firas AlBalas; Osama M. Dorgham; Atef A. Obeidat (Int. J. Cloud Appl. Comput., 2018)

A P2P Botnet detection scheme based on decision tree and adaptive multilayer neural networks. - Mohammad Alauthman; Nauman Aslam; Li Zhang 013; Rafe Alasem; M. Alamgir Hossain (Neural Comput. Appl., 2018)

A comparative study on spiking neural network encoding schema: implemented with cloud computing. - Ammar Almomani; Mohammad Alauthman; Mohammed Alweshah; Osama M. Dorgham; Firas AlBalas (Clust. Comput., 2019)

Feature Selection Using a Machine Learning to Classify a Malware. - Mouhammd Al-Kasassbeh 001; Safaa Mohammed; Mohammad Alauthman; Ammar Almomani (Handbook of Computer Networks and Cyber Security, 2020)

Evaluation of Class Decomposition based on Clustering Validity and K-means Algorithm. - Bilal Sowan; Nasim Matar; Firas Omar; Mohammad Alauthman; Mohammed Eshtay (ACIT, 2020)

Energy-Efficiency Routing algorithms in Wireless Sensor Networks: a Survey. - Ghassan Samara; Ghadeer Al Besani; Mohammad Alauthman; Mohammad Al Khaldy (CoRR, 2020)

A Survey of Fast Flux Botnet Detection With Fast Flux Cloud Computing. - Ahmad Al Nawasrah; Ammar Ali Almomani; Samer Atawneh; Mohammad Alauthman (Int. J. Cloud Appl. Comput., 2020)

An efficient reinforcement learning-based Botnet detection approach. - Mohammad Alauthman; Nauman Aslam; Mouhammd Al-Kasassbeh 001; Suleman Khan 001; Ahmad Al-Qerem; Kim-Kwang Raymond Choo (J. Netw. Comput. Appl., 2020)

IoT transaction processing through cooperative concurrency control on fog-cloud computing environment. - Ahmad Al-Qerem; Mohammad Alauthman; Ammar Almomani; Brij B. Gupta (Soft Comput., 2020)

Diabetic Retinopathy Detection using Ensemble Machine Learning. - Israa Odeh; Mouhammd Alkasassbeh 001; Mohammad Alauthman (ICIT, 2021)

Security Hardening of Botnet Detectors Using Generative Adversarial Networks. - Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Husnain Rafiq; Frank Comeau (IEEE Access, 2021)

EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes. - Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Husnain Rafiq; Muhammad Khalid (CoRR, 2021)

DNS rule-based schema to botnet detection. - Kamal Alieyan; Ammar Almomani; Mohammed Anbar; Mohammad Alauthman; Rosni Abdullah; Brij B. Gupta (Enterp. Inf. Syst., 2021)

Botnet detection used fast-flux technique, based on adaptive dynamic evolving spiking neural network algorithm. - Ammar Almomani; Ahmad Al Nawasrah; Mohammad Alauthman; Mohammed Azmi Al-Betar; Farid Meziane (Int. J. Ad Hoc Ubiquitous Comput., 2021)

Machine Learning-Driven Optimization for Intrusion Detection in Smart Vehicular Networks. - Ayoub Alsarhan; Abdel-Rahman Al-Ghuwairi; Islam T. Almalkawi; Mohammad Alauthman; Ahmed Al-Dubai 001 (Wirel. Pers. Commun., 2021)

Machine learning Scheme for Managing Virtual Computing Resources in Cloud Market. - Bashar Igried; Ayoub Alsarhan; Mohammad Alauthman; Ammar Almomani (ACIT, 2022)

A Proposed Framework for Early Detection IoT Botnet. - Ashraf S. Mashaleh; Noor Farizah Binti Ibrahim; Mohammad Alauthman; Ammar Almomani (ACIT, 2022)

Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparative Study. - Ammar Almomani; Mohammad Alauthman; Mohd Taib Shatnawi; Mohammed Alweshah; Ayat Alrosan; Waleed Alomoush; Brij B. Gupta (Int. J. Semantic Web Inf. Syst., 2022)

The effect of Data Augmentation Using SMOTE: Diabetes Prediction by Machine Learning Techniques. - Ahmad Al-Qerem; Ali Mohd Ali; Mohammad Alauthman; Mohammad Al Khaldy; Amjad Aldweesh (AICCC, 2023)

Enhancing Phishing URL Detection: A Comparative Study of Machine Learning Algorithms. - Ayoub Alsarhan; Bashar Igried; Raad Mohammad Bani Saleem; Mohammad Alauthman; Mohammad Aljaidi (AIMLR, 2023)

Efficient Scanning Activity Detection in IoT Networks Using Ensemble Learning. - Bashar Igried; Mohammad Alauthman; Mohammad Al Khaldy; Ayoub Alsarhan (AIMLR, 2023)

CTELC: A Constant-Time Ensemble Learning Classifier Based on KNN for Big Data. - Ahmad S. Tarawneh; Eman S. Alamri; Najah Noori Al-Saedi; Mohammad Alauthman; Ahmad Basheer Hassanat (IEEE Access, 2023)

RoboGuard: enhancing robotic system security with ensemble learning. - Ali Al Maqousi; Mohammad Alauthman (Int. Arab J. Inf. Technol., 2023)

Ensemble-Based Approach for Efficient Intrusion Detection in Network Traffic. - Ammar Almomani; Iman Akour; Ahmad M. Manasrah; Omar Almomani; Mohammad Alauthman; Esra'a Abdullah; Amaal Al-Amawi; Razan Al Sharaa (Intell. Autom. Soft Comput., 2023)

A Robust Model for Translating Arabic Sign Language into Spoken Arabic Using Deep Learning. - Khalid M. O. Nahar; Ammar Almomani; Nahlah M. Shatnawi; Mohammad Alauthman (Intell. Autom. Soft Comput., 2023)

The Meta-Fusion: A Cloud-Integrated Study on Blockchain Technology Enabling Secure and Efficient Virtual Worlds. - Amjad Aldweesh; Mohammad Alauthman; Mohammad Al Khaldy; Abdelraouf Ishtaiwi; Ahmad Al-Qerem; Ammar Almomani; Brij B. Gupta (Int. J. Cloud Appl. Comput., 2023)

Comparative Evaluation of Host-Based Translator Mechanisms for IPv4-IPv6 Communication Performance Analysis With Different Routing Protocols. - Ala Hamarsheh; Ahmad Alqerem; Iman Akour; Mohammad Alauthman; Amjad Aldweesh; Ali Mohd Ali; Ammar Almomani; Someah Alangari (Int. J. Cloud Appl. Comput., 2023)

Machine Learning for Accurate Software Development Cost Estimation in Economically and Technically Limited Environments. - Mohammad Alauthman; Ahmad Al-Qerem; Someah Alangari; Ali Mohd Ali; Ahmad Nabot; Amjad Aldweesh; Issam Jebreen; Ammar Almomani; Brij B. Gupta (Int. J. Softw. Sci. Comput. Intell., 2023)

Redefining E-Commerce Experience: An Exploration of Augmented and Virtual Reality Technologies. - Mohammad Al Khaldy; Abdelraouf Ishtaiwi; Ahmad Al-Qerem; Amjad Aldweesh; Mohammad Alauthman; Ammar Almomani; Varsha Arya (Int. J. Semantic Web Inf. Syst., 2023)

Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks. - Ayoub Alsarhan; Mohammad Alauthman; Esra'a Alshdaifat; Abdel-Rahman Al-Ghuwairi; Ahmed Al-Dubai 001 (J. Ambient Intell. Humaniz. Comput., 2023)

Enhancing Small Medical Dataset Classification Performance Using GAN. - Mohammad Alauthman; Ahmad Al-Qerem; Bilal Sowan; Ayoub Alsarhan; Mohammed Eshtay; Amjad Aldweesh; Nauman Aslam (Informatics, 2023)

Ensembling validation indices to estimate the optimal number of clusters. - Bilal Sowan; Tzung-Pei Hong; Ahmad Al-Qerem; Mohammad Alauthman; Nasim Matar (Appl. Intell., 2023)

Transactional Services for Concurrent Mobile Agents over Edge/Cloud Computing-Assisted Social Internet of Things. - Ahmad Al-Qerem; Ali Mohd Ali; Shadi Nashwan; Mohammad Alauthman; Ala Hamarsheh; Ahmad Nabot; Issam Jebreen (ACM J. Data Inf. Qual., 2023)

Evasion Generative Adversarial Network for Low Data Regimes. - Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Husnain Rafiq (IEEE Trans. Artif. Intell., 2023)

Detection of Thyroid Disease Through Machine Learning Technique. - Mutaz AlMomani; Ahmad Al-Qerem; Shadi Nashwan; Issam Jebreen; Mohammed Rajab; Mohammad Alauthman; Mohammad Jeadi; Ali Elrashidi (ACIT, 2024)

Unveiling Deception: Different Strategies for Combatting Arabic Fake News. - Nada Khattab; Ahmad Al-Qerem; Shadi Nashwan; Issam Jebreen; Mohammed Rajab; Mohammad Alauthman; Mohammad Jeadi; Ali Elrashidi (ACIT, 2024)

Advancing Stroke Prediction: Explainable Machine Learning Models and Data Augmentation Strategies. - Rahma Abu Salma; Ahmad Alqerem; Abedalhakeam Iessa; Mohammed Rajab; Mohammad Alauthman; Mohammad Jeadi; Ali Elrashidi (ACIT, 2024)

Adverserial network augmentation and tabular data for a new covid-19 diagnostics approach. - Eman Kamal Al-Bwana; Ikbel Sayahi; Mohammad Alauthman; Mohamed Ali Mahjoub (CoDIT, 2024)

Cyberbullying Detection Using Deep Learning: A Comparative Study. - Mouhammd Alkasassbeh 001; Ammar Almomani; Amjad Aldweesh; Ahmad Al-Qerem; Mohammad Alauthman; Khalid M. O. Nahar; Beenu Mago (ICCR, 2024)

Next Generation Image Watermarking via Combined DWT-SVD Technique. - Qais Al-Na'amneh; Ammar Almomani; Ahmad Nasayreh; Khalid M. O. Nahar; Hasan Gharaibeh; Rabia Emhamed Al Mamlook; Mohammad Alauthman (ICCR, 2024)

Machine Learning for Enhanced Autism Screening: A Comparative Evaluation of Classification Algorithms. - May Y. Al-Nashashibi; Mohammad Alauthman; Wael Hadi (ICCR, 2024)

Malware Threats Targeting Cryptocurrency: A Comparative Study. - Mohammad Alauthman; Ahmad Al-Qerem; Mouhammd Alkasassbeh 001; Nauman Aslam; Amjad Aldweesh (ICCR, 2024)

IoT Security Challenges in Modern Smart Cities. - Mohammad Alauthman; Amjad Aldweesh; Ahmad Al-Qerem (ICCR, 2024)

A Framework for Cybersecurity in the Metaverse. - Mohammad Alauthman; Abdelraouf Ishtaiwi; Ali Al Maqousi; Wael Hadi (ICCR, 2024)

CNNs in Crop Care: A Comparative Analysis of Tomato Disease Detection Models. - Ali Mohd Ali; Shadi Nashwan; Ahmad Al-Qerem; Amjad Aldweesh; Mohammad Alauthman; Zenab Elgamal; Ammar Almomani (ICCR, 2024)

Impact of Data-Augmentation on Brain Tumor Detection Using Different YOLO Versions Models. - Abdelraouf Ishtaiwi; Ali Mohd Ali; Ahmad Al-Qerem; Yazan Alsmadi; Amjad Aldweesh; Mohammad Alauthman; Omar Alzubi; Shadi Nashwan; Awad Ramadan; Musab Al-Zghoul; Someah Alangari (Int. Arab J. Inf. Technol., 2024)

Analyzing Darknet Traffic Through Machine Learning and Neucube Spiking Neural Networks. - Iman Akour; Mohammad Alauthman; Khalid M. O. Nahar; Ammar Almomani; Brij B. Gupta (Intell. Converged Networks, 2024)

Next-Gen Phishing Defense Enhancing Detection With Machine Learning and Expert Whitelisting/Blacklisting. - Abdelraouf Ishtaiwi; Ali Mohd Ali; Ahmad Al-Qerem; Mohammad Sabahean; Bilal Alzubi; Ammar Almomani; Mohammad Alauthman; Amjad Aldweesh; Mohammad Ali Al Khaldy (Int. J. Cloud Appl. Comput., 2024)

Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection. - Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Muhammad Khalid; Husnain Rafiq (Future Gener. Comput. Syst., 2024)

Mlora-CBF: efficient cluster-based routing protocol against resource allocation using modified location routing algorithm with cluster-based flooding. - Amjad Aldweesh; Sarangam Kodati; Mohammad Alauthman; Ibrahim Aqeel; Ibrahim Mohsen Khormi; M. Dhasaratham; R. Lakshmana Kumar (Wirel. Networks, 2024)

Deep learning-based route reconfigurability for intelligent vehicle networks to improve power-constrained using energy-efficient geographic routing protocol. - Liyakathunisa Syed; P. Sathyaprakash; A. Shobanadevi; Ha Huy Cuong Nguyen; Mohammad Alauthman; M. Vedaraj; R. Premalatha (Wirel. Networks, 2024)

Unintended Data Behaviour Analysis Using Cryptography Stealth Approach Against Security and Communication Network. - Mohammad Alauthman; Hanan Aljuaid; P. Sathyaprakash; Amjad Aldweesh; Anand M; Tariq Rasheed; Awais Khan Jumani (Mob. Networks Appl., 2024)

TGAN and CTGAN: A Comparative Analysis for Augmenting COVID 19 Tabular Data. - Eman Kamal Al-Bwana; Mohammad Alauthman; Ikbel Sayahi; Mohamed Ali Mahjoub (ICEIS (1), 2025)

Ethical Foundations of AI-Driven Avatars in the Metaverse for Innovation and User Privacy. - Ammar Almomani; Ahmad Al-Qerem; Mohammad Alauthman; Amjad Aldweesh; Samer Aoudi; Said A. Salloum (IEEE Access, 2025)

Anomaly-based network intrusion detection using denoising autoencoder and Wasserstein GAN synthetic attacks. - Mohammad Arafah; Iain W. Phillips; Asma Adnane; Wael Hadi; Mohammad Alauthman; Abedal-Kareem Al-Banna (Appl. Soft Comput., 2025)

Balancing consistency and performance in edge-cloud transaction management. - Ahmad Al-Qerem; Ali Mohd Ali; Ahmad Nabot; Issam Jebreen; Mohammad Alauthman; Someah Alangari; Ammar Almomani; Vinay Chamola; Amjad Aldweesh (Comput. Hum. Behav., 2025)

HECOCP: hybrid edge-cloud optimistic concurrency protocol for sensor data transactional services. - Abdelraouf Ishtaiwi; Ahmad Nabot; Omar Alzubi; Awad Ramadan; Abdulbasit A. Darem; Asma Alhashmi; Mohammad Alauthman; Amjad Aldweesh (Int. Arab J. Inf. Technol., 2025)

Comprehensive Evaluation of XBNet for Multi-Class IoT Attack Detection. - Iman Akour; Mohammad Alauthman; Ammar Almomani; Ramakrishnan Raman 001; Varsha Arya (Int. J. Cloud Appl. Comput., 2025)

Information Theory-Based DDoS Attack Detection in Cloud Computing: A Systematic Survey of Approaches, Challenges, and Future Directions. - Mohammad Alarqan; Bahari Belaton; Ammar Almomani; Mohammad Alauthman; Mohammed Azmi Al-Betar; Varsha Arya (Int. J. Cloud Appl. Comput., 2025)

Unified Transformer Framework for Automated Cyberbullying Detection. - Enas A. Alikhashashneh; Hedaia Alsawan; Khalid M. O. Nahar; Nahlah M. Shatnawi; Ammar Almomani; Mohammad Alauthman; Shavi Bansal; Shin-Hung Pan (Int. J. Cloud Appl. Comput., 2025)

Remote Labs in Cybersecurity Education: Analyzing Software Requirements and Challenges. - Nesreen A. Otoum; Ali Al Maqousi; Mohammad Alauthman; Ammar Almomani (Int. J. Cloud Appl. Comput., 2025)

Feature Selection in Socio-Economic Analysis: A Multi-Method Approach for Accurate Predictive Outcomes. - Ahmad Al-Qerem; Ali Mohd Ali; Issam Jebreen; Ahmad Nabot; Mohammed Rajab; Mohammad Alauthman; Amjad Aldweesh; Faisal Aburub; Someah Alangari; Musab Alzgol (Int. J. Crowd Sci., 2025)

Enhancing Organizational Performance: Synergy of Cyber-Physical Systems, Cloud Services, and Crowdsensing. - Ahmad Al-Qerem; Ali Mohd Ali; Ahmad Nabot; Issam Jebreen; Mohammad Alauthman; Someah Alangari; Faisal Aburub; Amjad Aldweesh (Int. J. Crowd Sci., 2025)

Intelligent Control Agent For IoT Network Attack Detection: A Machine Learning Approach. - Hussam Hussein Abu Munshar; Farah Jemili; Ouajdi Korbaa; Mohammad Alauthman (IT Prof., 2025)

An enhanced BiGAN architecture for network intrusion detection. - Mohammad Arafah; Iain W. Phillips; Asma Adnane; Mohammad Alauthman; Nauman Aslam (Knowl. Based Syst., 2025)