Mohammed M. Al Ani
Professor of Computing Security
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Recent Journal Publications
- Mohammed M. Alani, HoneyTwin: Securing Smart Cities with Machine Learning-Enabled SDN Edge and Cloud-Based Honeypots, Journal of Parallel and Distributed Computing (Q2|IF 3.8), Elsevier. June 2024.(ScienceDirect)
- Mohammed M. Alani, Lara Mauri, Ernesto Damiani, A two-stage cyber attack detection and classification system for smart grids, Internet of Things Journal (Q1|IF 5.9), Elsevier, Dec 2023.(ScienceDirect)
- Mohammed M. Alani, Atefeh Mashatan, Ali Miri, XMal: A lightweight memory-based explainable obfuscated-malware detector, Computers & Security (Q1|IF 5.6), Elsevier, Aug 2023.(ScienceDirect)
- Mohammed M. Alani, Ali I. Awad, Ezidine Barka, ARP-PROBE: An ARP spoofing detector for Internet of Things networks using explainable deep learning, Internet of Things Journal (Q1|IF 5.9), Elsevier, June 2023.(ScienceDirect)
- Mohammed M. Alani, Ernesto Damiani, XRecon: An Explainbale IoT Reconnaissance Attack Detection System Based on Ensemble Learning , Sensors (Q2|IF 3.9), MDPI, June 2023.(MDPI)
Mohammed M. Alani, An explainable efficient flow-based Industrial IoT intrusion detection system, Computers & Electrical Engineering (Q2|IF 4.152), Elsevier, May 2023.(ScienceDirect)
Currently Teaching
In the News
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May 8, 2025
RIT Dubai research aims to boost security for Android users
A research project led by the Rochester Institute of Technology (RIT) of Dubai has provided critical insights into Android’s malware ecosystem, to help boost security and protect users from cyberattacks.
Featured Work
Open Source Command and Control Center
Multidisciplinary Senior Design Project ’25
A modular C2 framework for simulating advanced persistent threats with security and flexibility.
Phishing Detection System Leveraging AI
Multidisciplinary Senior Design Project ’25
AI-powered defense against phishing: real-time URL detection and protection through browser integration.
Intrusion Detection in Industrial IOT Networks Using Machine Learning
Multidisciplinary Senior Design Project ’25
Advancing IIoT protection: building transparent and precise machine learning models for cybersecurity.