Guide to Cisco Routers Configuration - Becoming a Router Geek. - Mohammed M. Alani (Springer, 2012)

Neuro-Cryptanalysis of DES and Triple-DES. - Mohammed M. Alani (ICONIP (5), 2012)

Neuro-cryptanalysis of DES. - Mohammed M. Alani (WorldCIS, 2012)

MANET security: A survey. - Mohammed M. Alani (ICCSCE, 2014)

Guide to OSI and TCP/IP Models - Mohammed M. Alani (Springer, 2014)

Elements of Cloud Computing Security - A Survey of Key Practicalities - Mohammed M. Alani (Springer, 2016)

Guide to Cisco Routers Configuration - Becoming a Router Geek, Second Edition - Mohammed M. Alani (Springer, 2017)

Prioritizing Cloud Security Controls. - Mohammed M. Alani (AWICT, 2017)

Android Users Privacy Awareness Survey. - Mohammed M. Alani (Int. J. Interact. Mob. Technol., 2017)

Detecting NDP Distributed Denial of Service Attacks Using Machine Learning Algorithm Based on Flow-Based Representation. - Abeer Abdullah Alsadhan; Abir Hussain; Mohammed M. Alani (DeSE, 2018)

IoT Lotto: Utilizing IoT Devices in Brute-Force Attacks. - Mohammed M. Alani (ICIT, 2018)

Applications of machine learning in cryptography: a survey. - Mohammed M. Alani (ICCSP, 2019)

A systematic review on the status and progress of homomorphic encryption technologies. - Mohamed Alloghani; Mohammed M. Alani; Dhiya Al-Jumeily; Thar Baker; Jamila Mustafina; Abir Hussain; Ahmed J. Aljaaf (J. Inf. Secur. Appl., 2019)

Cybersecurity design considerations for cross-boundary clinical decision support. - Obinna Anya; Hissam Tawfik; Mohammed M. Alani; Jia Hu 001 (J. Reliab. Intell. Environ., 2019)

On Recent Security Issues in Machine Learning. - Mohammed M. Alani (SoftCOM, 2020)

Implementing IoT Lottery on Data Encryption Standard. - Mohammed M. Alani; Muath Alrammal; Munir Naveed (J. Commun., 2020)

Special issue on security, usability and sustainability of smart cities. - Hissam Tawfik; Jia Hu 001; Kevin Kam Fung Yuen; Mohammed M. Alani; Nektarios Georgalas (J. Reliab. Intell. Environ., 2020)

Implementation-Oriented Feature Selection in UNSW-NB15 Intrusion Detection Dataset. - Mohammed M. Alani (ISDA, 2021)

Big data in cybersecurity: a survey of applications and future trends. - Mohammed M. Alani (J. Reliab. Intell. Environ., 2021)

IoTProtect: A Machine-Learning Based IoT Intrusion Detection System. - Mohammed M. Alani (CSP, 2022)

DeepIIoT: An Explainable Deep Learning Based Intrusion Detection System for Industrial IOT. - Mohammed M. Alani; Ernesto Damiani; Uttam Ghosh (ICDCS Workshops, 2022)

PAIRED: An Explainable Lightweight Android Malware Detection System. - Mohammed M. Alani; Ali Ismail Awad (IEEE Access, 2022)

PhishNot: A Cloud-Based Machine-Learning Approach to Phishing URL Detection. - Mohammed M. Alani; Hissam Tawfik (Comput. Networks, 2022)

A blockchain-based Fog-oriented lightweight framework for smart public vehicular transportation systems. - Thar Baker; Muhammad Asim 001; Hezekiah Samwini; Nauman Shamim; Mohammed M. Alani; Rajkumar Buyya (Comput. Networks, 2022)

BotStop : Packet-based efficient and explainable IoT botnet detection using machine learning. - Mohammed M. Alani (Comput. Commun., 2022)

AdStop: Efficient flow-based mobile adware detection using machine learning. - Mohammed M. Alani; Ali Ismail Awad (Comput. Secur., 2022)

Locally weighted classifiers for detection of neighbor discovery protocol distributed denial-of-service and replayed attacks. - Abeer Abdullah Alsadhan; Abir Hussain; Panos Liatsis; Mohammed M. Alani; Hissam Tawfik; Phillip Kendrick; Hulya Francis (Trans. Emerg. Telecommun. Technol., 2022)

Towards an Explainable Universal Feature Set for IoT Intrusion Detection. - Mohammed M. Alani; Ali Miri (Sensors, 2022)

Forensic Identification of Android Trojans Using Stacked Ensemble of Deep Neural Networks. - Mohammed M. Alani; Atefeh Mashatan; Ali Miri (ACNS Workshops, 2023)

Explainable Ensemble-Based Detection of Cyber Attacks on Internet of Medical Things. - Mohammed M. Alani; Atefeh Mashatan; Ali Miri (DASC/PiCom/CBDCom/CyberSciTech, 2023)

XMeDNN: An Explainable Deep Neural Network System for Intrusion Detection in Internet of Medical Things. - Mohammed M. Alani; Atefeh Mashatan; Ali Miri (ICISSP, 2023)

A Survey of Smart Grid Intrusion Detection Datasets. - Mohammed M. Alani; Thar Baker (Intelligent Environments (Workshops), 2023)

Adversarial Explainability: Utilizing Explainable Machine Learning in Bypassing IoT Botnet Detection Systems. - Mohammed M. Alani; Atefeh Mashatan; Ali Miri (CoRR, 2023)

XRecon: An Explainbale IoT Reconnaissance Attack Detection System Based on Ensemble Learning. - Mohammed M. Alani; Ernesto Damiani (Sensors, 2023)

An Intelligent Two-Layer Intrusion Detection System for the Internet of Things. - Mohammed M. Alani; Ali Ismail Awad (IEEE Trans. Ind. Informatics, 2023)

An explainable efficient flow-based Industrial IoT intrusion detection system. - Mohammed M. Alani (Comput. Electr. Eng., 2023)

XMal: A lightweight memory-based explainable obfuscated-malware detector. - Mohammed M. Alani; Atefeh Mashatan; Ali Miri (Comput. Secur., 2023)

ARP-PROBE: An ARP spoofing detector for Internet of Things networks using explainable deep learning. - Mohammed M. Alani; Ali Ismail Awad; Ezedin Barka (Internet Things, 2023)

A two-stage cyber attack detection and classification system for smart grids. - Mohammed M. Alani; Lara Mauri; Ernesto Damiani (Internet Things, 2023)

Building Detection-Resistant Reconnaissance Attacks Based on Adversarial Explainability. - Mohammed M. Alani; Atefeh Mashatan; Ali Miri (CPSS@AsiaCCS, 2024)

A Hybrid Ensemble Learning-Based Intrusion Detection System for the Internet of Things. - Mohammed M. Alani; Ali Ismail Awad; Ezedin Barka (CSR, 2024)

Network-Based Multi-Protocol Attack Detection in Internet-of-Medical-Things Using Explainable Machine Learning. - Mohammed M. Alani (DeSE, 2024)

Behavioral Analysis of Android Riskware Families Using Clustering and Explainable Machine Learning. - Mohammed M. Alani; Moatsum Alawida (Big Data Cogn. Comput., 2024)

Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions. - Naseem Khan; Kashif Ahmad; Aref Al-Tamimi; Mohammed M. Alani; Amine Bermak; Issa Khalil (CoRR, 2024)

HoneyTwin: Securing smart cities with machine learning-enabled SDN edge and cloud-based honeypots. - Mohammed M. Alani (J. Parallel Distributed Comput., 2024)