A novel machine learning and face recognition technique for fake accounts detection system on cyber social networks

You are who you know

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All your contacts are belong to us

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Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

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Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks

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Improved binary gray wolf optimizer and SVM for intrusion detection system in wireless sensor networks

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A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing

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Facebook immune system

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Social media security and trustworthiness: Overview and new direction

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Exploring susceptibility to phishing in the workplace

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Random Walk Based Fake Account Detection in Online Social Networks

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Face/Off

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An efficient employment of internet of multimedia things in smart and future agriculture

AlZu’bi, S. M. F., Hawashin, B., Mujahed, M., Jararweh, Y., & Gupta, B. B. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-7367-0 · Cited by 132 · see citing works

Leveraging Spatio-Temporal Patterns for Predicting Citywide Traffic Crowd Flows Using Deep Hybrid Neural Networks

Ali, A., Zhu, Y., Chen, Q., Yu, J., & Cai, H. (2019) · IEEE International Conference on Parallel and Distributed Systems (ICPADS) · doi:10.1109/icpads47876.2019.00025 · Cited by 107 · see citing works

An enhanced Grey Wolf Optimizer based Particle Swarm Optimizer for intrusion detection system in wireless sensor networks

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Parallel implementation for 3D medical volume fuzzy segmentation

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Online Social Networks: Status and Trends

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Blind Vision

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Sentiment Analysis in Healthcare: A Brief Review

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Classification of various attacks and their defence mechanism in online social networks: a survey

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Detecting Advanced Persistent Threats using Fractal Dimension based Machine Learning Classification

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Extreme learning machine for plant diseases classification: a sustainable approach for smart agriculture

Aqel, D., AlZu’bi, S. M. F., Mughaid, A. S., & Jararweh, Y. (2021) · Cluster Computing · doi:10.1007/s10586-021-03397-y · Cited by 72 · see citing works

Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches

Mughaid, A. S., AlZu’bi, S. M. F., Alnajjar, A., Elsoud, E. A., El-Salhi, S., Igried, B., & Abualigah, L. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13914-9 · Cited by 61 · see citing works

A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education

AlZu’bi, S. M. F., Zitar, R. A., Hawashin, B., Abu-Shanab, S. A., Zraiqat, A. M., Mughaid, A. S., Almotairi, K. H., & Abualigah, L. (2022) · Electronics · doi:10.3390/electronics11182964 · Cited by 59 · see citing works

Efficient 3D medical image segmentation algorithm over a secured multimedia network

AlZu’bi, S. M. F., Hawashin, B., Mughaid, A. S., & Baker, T. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09160-6 · Cited by 54 · see citing works

A Novel Recommender System Based on Apriori Algorithm for Requirements Engineering

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Hybrid CLAHE-CNN Deep Neural Networks for Classifying Lung Diseases from X-ray Acquisitions

Hussein, F., Mughaid, A. S., AlZu’bi, S. M. F., El-Salhi, S., Abuhaija, B., Abualigah, L., & Gandomi, A. H. (2022) · Electronics · doi:10.3390/electronics11193075 · Cited by 49 · see citing works

Data Fusion in Autonomous Vehicles Research, Literature Tracing from Imaginary Idea to Smart Surrounding Community

AlZu’bi, S. M. F., & Jararweh, Y. (2020) · International Conference on Fog and Mobile Edge Computing (FMEC) · doi:10.1109/fmec49853.2020.9144916 · Cited by 43 · see citing works

2020 11th International Conference on Information and Communication Systems (ICICS)

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An intelligent system for blood donation process optimization - smart techniques for minimizing blood wastages

AlZu’bi, S. M. F., Aqel, D., & Lafi, M. (2022) · Cluster Computing · doi:10.1007/s10586-022-03594-3 · Cited by 41 · see citing works

Artificial Intelligence Enabling Water Desalination Sustainability Optimization

AlZu’bi, S. M. F., Alsmirat, M. A., Al‐Ayyoub, M., & Jararweh, Y. (2019) · International Renewable and Sustainable Energy Conference (IRSEC) · doi:10.1109/irsec48032.2019.9078166 · Cited by 39 · see citing works

An intelligent cybersecurity system for detecting fake news in social media websites

Mughaid, A. S., AlZu’bi, S. M. F., Al-Arjan, A., AL-Amrat, R., AL-Ajmi, R., Zitar, R. A., & Abualigah, L. (2022) · Soft Computing · doi:10.1007/s00500-022-07080-1 · Cited by 38 · see citing works

Toward Detecting Malicious Links in Online Social Networks through User Behavior

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Load Balancing Techniques in Cloud Computing: Extensive Review

Alkhatib, A. A., Alsabbagh, A., Maraqa, R., & AlZu’bi, S. M. F. (2021) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj060299 · Cited by 33 · see citing works

New Direction of Cryptography: A Review on Text-to-Image Encryption Algorithms Based on RGB Color Value

Abusukhon, A., & AlZu’bi, S. M. F. (2020) · International Conference on Software Defined Systems (SDS) · doi:10.1109/sds49854.2020.9143891 · Cited by 29 · see citing works

Chaotic binary reptile search algorithm and its feature selection applications

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Identifying Fake Facebook Profiles Using Data Mining Techniques

Albayati, M. B., & Altamimi, A. M. (2019) · Journal of ICT Research and Applications · doi:10.5614/itbj.ict.res.appl.2019.13.2.2 · Cited by 21 · see citing works

Detection of Fake Twitter Accounts with Machine Learning Algorithms

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A Multi-Levels Geo-Location based Crawling Method for Social Media Platforms

AlZu’bi, S. M. F., Aqel, D., Mughaid, A. S., & Jararweh, Y. (2019) · International Conference on Social Networks Analysis, Management and Security (SNAMS) · doi:10.1109/snams.2019.8931856 · Cited by 17 · see citing works

Towards Real-World Face De-Identification

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A Brief Analysis of Amazon Online Reviews

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Survey on Twitter Sentiment Analysis: Architecture, Classifications, and Challenges

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Novel system for road traffic optimisation in large cities

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Malware detection and classification using community detection and social network analysis

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A Novel Header Matching Algorithm For Intrusion Detection Systems

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Whats Trending? An Efficient Trending Research Topics Extractor and Recommender

AlZu’bi, S. M. F., Hawashin, B., Mughaid, A. S., & Jararweh, Y. (2020) · International Conference on Information and Communication Systems (ICICS) · doi:10.1109/icics49469.2020.239519 · Cited by 10 · see citing works

The Utilization of WhatsApp to Determine the Obsessive-Compulsive Disorder (OCD): A Preliminary Study

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A Survey of Human Face Recognition for Partial Face View

Abushanap, S. A., Abdalla, A. M. A., Tamimi, A. A., & AlZu’bi, S. M. F. (2021) · doi:10.1109/icit52682.2021.9491678 · Cited by 8 · see citing works

An Improved Video Steganography: Using Random Key-Dependent

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COVD-19 Detection Platform from X-ray Images using Deep Learning

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Getting Started

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Advancements in nanomaterials for nanosensors: a comprehensive review

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Unmasking the Truth: A Deep Learning Approach to Detecting Deepfake Audio Through MFCC Features

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Leveraging Machine Learning for Effective Breast Cancer Diagnosis

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Machine Learning Techniques for Effective Pathogen Detection Based on Resonant Biosensors

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Unleashing the Full Potential of Artificial Intelligence and Machine Learning in Cybersecurity Vulnerability Management

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Detection of Fake Profiles on Online Social Network Platforms: Performance Evaluation of Artificial Intelligence Techniques

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Securing social spaces: machine learning techniques for fake profile detection on instagram

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Unmasking deception: detection of fake profiles in online social ecosystems

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Instagram fake profile detection using an ensemble learning method

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From Tweets to Threats: A Survey of Cybersecurity Threat Detection Challenges, AI-Based Solutions and Potential Opportunities in X

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ArabFake: A Multitask Deep Learning Framework for Arabic Fake News Detection, Categorization, and Risk Prediction

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Leveraging Machine Learning for Fraudulent Social Media Profile Detection

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Detection of Fake Instagram Accounts via Machine Learning Techniques

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Machine Learning Boosting Algorithms to Detect the Fake User Profiles on Instagram

Naik, D. B., Sri, S. N., Priya, G. M., & Priya, P. S. (2023) · International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS) · doi:10.1109/iq-cchess56596.2023.10391800 · Cited by 5 · see citing works

A Fake Profile Detection Model Using Multistage Stacked Ensemble Classification

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A flexible squeeze excited multi-modal feature fusion based vision transformer for face anti-spoofing in authentication system

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Navigating the face recognition: unleashing the power of few-shot learning through metric-based insights

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Leveraging dynamic fuzzification to mitigate fraudulent profiles on social networking platforms

Sarfraz, A., Ahmad, A., Zeshan, F., Hamid, M., Aman, M., & Saleem, M. (2025) · Social Network Analysis and Mining · doi:10.1007/s13278-025-01471-6 · Cited by 4 · see citing works

An Enhanced Anti-Phishing Technique for Social Media Users: A Multilayer Q-Learning Approach

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RACEMAN: Cross-Platform Intrusion Detection in Online Social Networks

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Detecting Deceptive Identities: A Machine Learning Approach to Unveiling Fake Profiles on Social Media

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Optimizing Fraud Detection with XGBoost and CatBoost for Social Media Profiles and Payment Systems

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Fake User Identity Detection Among Human and Bot Using Machine Learning Approach of Support Vector Machine

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Ensemble techniques for detecting profile cloning attacks in online social networks

Mohiuddin, I., & Almogren, A. (2025) · PeerJ Computer Science · doi:10.7717/peerj-cs.3182 · Cited by 1 · see citing works

An Efficient Framework For Identifying Malicious Profiles In Social Networks

Pawar, R., Mishra, S., Vignesh, R., Gupta, A., Swapna, M., & Daivagna, U. (2025) · International Conference on Metaverse and Current Trends in Computing (ICMCTC) · doi:10.1109/icmctc62214.2025.11196328 · Cited by 1 · see citing works

LIMFADD: LLM-enabled Instagram Multi-Class Fake Account Detection Dataset

Fulzele, P., Jiss, M. M., Fulzele, S., & Das, T. (2025) · IEEE International Symposium on Technology and Society (ISTAS) · doi:10.1109/istas65609.2025.11269636 · Cited by 1 · see citing works

Handling Missing Data Techniques: A Meta-Analysis

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Behind the Screen: The Use of Facebook Accounts With Inauthentic Behavior During European Elections

Oprea, B., Pașnicu, P., Niculae, A.-N., Bonciu, C.-C., & Tudorașcu-Dobre, D. (2025) · Media and Communication · doi:10.17645/mac.10733 · Cited by 1 · see citing works

Malicious Intent Detection Framework for Social Networks

Fausak, A. T. (2024) · doi:10.12794/metadc2332602

A Voting Ensemble Model and Explainability Framework for Fake Account Detection in Social Media

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Hybrid Deep Learning for Multimodal Fake Profile Detection Using CNN-Transformer and Temporal Convolutional Networks

Aditya, B. L. V. S., Mohanty, S. N., Kolluru, V. K., Chintakunta, A. N., & Dudekula, K. V. (2025) · Engineering cyber-physical systems and critical infrastructures · doi:10.1007/978-3-031-91798-1_15

Theory of Computation Analysis of Fake User Identification via Explainable AI on Online Social Networks

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Model for Facial Recognition of Condominium Employees Applying ResNet-18 and VGG-16

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Cloud-Based Face-Swapping Application

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Mind, Body, Firewall: Health and Security in Times of Continuous Connection

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Leveraging Ensemble Model to Uncover Fake User Profiles in Online Communities

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Combating web-based fake profiles using optimized LightGBM: an ensemble learning approach using OSEMN framework

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CLFT: An Optimized Hybrid Cross-Layer Fusion Transformer for Accurate Fake Profile Detection on Social Media

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Digital Economy Contribution to Sustainable Development

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Preventing Fake Accounts on Social Media Using Face Recognition Based on Convolutional Neural Network

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Improved Model for Detecting Fake Profiles in Online Social Network: A Case Study of Twitter

K. Ojo, A. (2019) · HAL

Detection of Fake Profiles in Online Social Networks – A SurveyPreprint

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Use of Machine Learning and Detect Fake Profiles in a Social Media Network

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Identification of Fake accounts in social media using machine learning

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