Mohammad Ashrafuzzaman

King Saud University — Saudi Arabia

Computer Science · Physical Sciences

9h-index537citations23works3.02yr avg
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Research Topics

Network Security and Intrusion Detection(11), Smart Grid Security and Resilience(10), Information and Cyber Security(5), Advanced Malware Detection Techniques(3), Internet Traffic Analysis and Secure E-voting(2)

Publications23 total

Artificial intelligence in protein science and engineering
Elsevier eBooks·2025
Bioinformatics tools and AI algorithms tracking the origins of life
Elsevier eBooks·2025
Reverse tracking life’s evolution using bioinformatics tools and AI algorithms
Elsevier eBooks·2025
AqUavplant Dataset: A High-Resolution Aquatic Plant Classification and Segmentation Image Dataset Using UAV
Scientific Data·2024· 5 citedOpen Access
Ensembling Supervised and Unsupervised Machine Learning Algorithms for Detecting Distributed Denial of Service Attacks
Algorithms·2024· 10 citedOpen Access
IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
Applied Sciences·2022· 172 citedOpen Access
An Adaptive Approach to Detection of Dermatoglyphic Patterns of Bangladeshi People With Down Syndrome Using Fingerprint Classification
Advances in Human Biology·2021· 2 citedOpen Access
Ion Channel Energetics
2021
Nonchannel Membrane Gating
2021
Supervised Learning for Detecting Stealthy False Data Injection Attacks in the Smart Grid
Transactions on computational science and computational intelligence·2021· 1 cited
Network Intrusion Detection using Natural Language Processing and Ensemble Machine Learning
2020· 32 cited
Elliptic Envelope Based Detection of Stealthy False Data Injection Attacks in Smart Grid Control Systems
2020· 23 cited
Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning
Computers & Security·2020· 119 cited
ISAAC: The Idaho CPS Smart Grid Cybersecurity Testbed
2019· 48 cited
METICS: A Holistic Cyber Physical System Model for IEEE 14-bus Power System Security
2018· 8 cited
A Best-Effort Damage Mitigation Model for Cyber-Attacks on Smart Grids
2018· 3 cited
HESTIA: Adversarial Modeling and Risk Assessment for CPCS
2018· 8 cited
Detecting Stealthy False Data Injection Attacks in Power Grids Using Deep Learning
2018· 67 cited
An architecture for HESTIA: high-level and extensible system for training and infrastructure risk assessment
International Journal of Internet of Things and Cyber-Assurance·2018· 5 cited
An architecture for HESTIA: high-level and extensible system for training and infrastructure risk assessment
International Journal of Internet of Things and Cyber-Assurance·2018· 6 cited
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Frequent Co-authors

Frederick T. Sheldon(14), Yacine Chakhchoukh(10), Ananth A. Jillepalli(9), Daniel Conte de Leon(6), Saikat Das(5), Brian K. Johnson(5), Michael Haney(5), Sajjan G. Shiva(4), Predrag T. Tošić(4), Jim Alves-Foss(4), Ibukun A. Oyewumi(2), Khalid Albulayhi(1), Qasem Abu Al‐Haija(1), Suliman A. Alsuhibany(1), Philip R. K. Richardson(1), Venkata SreeKrishna Koganti(1), Goutam Saha(1), Mohammad Sayem Bin Abdullah(1), Brian Johnson(1), Md. Abrar Istiak(1)