Sarker, Iqbal H.

Machine learning: Algorithms, real-world applications and research directions

Sarker, I. H. (2021) · SN Computer Science

Artificial Intelligence ApplicationsMachine Learning and Algorithms

Cited by 5,583

AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems

Sarker, I. H. (2022) · SN Computer Science

Artificial Intelligence ApplicationsInternet of Things and AI

Cited by 1,208

Cybersecurity data science: an overview from machine learning perspective

Sarker, I. H., Kayes, A. S. M., Badsha, S., Alqahtani, H., Watters, P., & Ng, A. (2020) · Journal of Big Data

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 766

Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective

Sarker, I. H. (2021) · SN Computer Science

Big Data and Business IntelligenceBig Data Technologies and Applications

Cited by 570

AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

Sarker, I. H. (2021) · SN Computer Science

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 550

IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model

Sarker, I. H., Abushark, Y. B., Alsolami, F., & Khan, A. I. (2020) · Symmetry

Network Security and Intrusion DetectionArtificial Immune Systems Applications

Cited by 356

Deep Cybersecurity: A Comprehensive Overview from Neural Network and Deep Learning Perspective

Sarker, I. H. (2021) · SN Computer Science

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 295

Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage

Sarker, I. H., Kayes, A. S. M., & Watters, P. (2019) · Journal of Big Data

Context-Aware Activity Recognition SystemsData Mining and Machine Learning Applications

Cited by 287

Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions

Sarker, I. H., Hoque, M. M., Uddin, M. K., & Alsanoosy, T. (2021) · Mobile Networks and Applications

Artificial Intelligence ApplicationsMobile and Web Applications

Cited by 207

BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model

Sarker, I. H., Colman, A., Han, J., Khan, A. I., Abushark, Y. B., & Salah, K. (2020) · Mobile Networks and Applications

Context-Aware Activity Recognition SystemsData Mining Algorithms and Applications

Cited by 142

CyberLearning: Effectiveness analysis of machine learning security modeling to detect cyber-anomalies and multi-attacks

Sarker, I. H. (2021) · Internet of Things

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 129

A machine learning based robust prediction model for real-life mobile phone data

Sarker, I. H. (2019) · Internet of Things

Data Mining and Machine Learning ApplicationsCustomer churn and segmentation

Cited by 113

Context-aware rule learning from smartphone data: survey, challenges and future directions

Sarker, I. H. (2019) · Journal of Big Data

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 105

Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior

Sarker, I. H., Colman, A., Kabir, M. A., & Han, J. (2018) · The Computer Journal

Time Series Analysis and ForecastingHuman Mobility and Location-Based Analysis

Cited by 80

ABC-RuleMiner: User behavioral rule-based machine learning method for context-aware intelligent services

Sarker, I. H., & Kayes, A. S. M. (2020) · Journal of Network and Computer Applications

Data Mining Algorithms and ApplicationsContext-Aware Activity Recognition Systems

Cited by 75

Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities

Yigit, Y., Ferrag, M. A., Ghanem, M. C., Sarker, I. H., Maglaras, L. A., Chrysoulas, C., Moradpoor, N., Tihanyi, N., & Janicke, H. (2025) · Sensors

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 69

RecencyMiner: mining recency-based personalized behavior from contextual smartphone data

Sarker, I. H., Colman, A., & Han, J. (2019) · Journal of Big Data

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 65

An Improved Transformer-based Model for Detecting Phishing, Spam, and Ham: A Large Language Model Approach

Jamal, S., Wimmer, H., & Sarker, I. (2023) · Research Square

Spam and Phishing DetectionHate Speech and Cyberbullying Detection

Cited by 27