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ORCIDMohammed M. Alani
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2020 – today
- 2024
[j20]Mohammed M. Alani
:
HoneyTwin: Securing smart cities with machine learning-enabled SDN edge and cloud-based honeypots. J. Parallel Distributed Comput. 188: 104866 (2024)- [c17]Mohammed M. Alani, Atefeh Mashatan, Ali Miri:
Building Detection-Resistant Reconnaissance Attacks Based on Adversarial Explainability. CPSS@AsiaCCS 2024: 16-23 - [c16]Mohammed M. Alani, Ali Ismail Awad, Ezedin Barka:
A Hybrid Ensemble Learning-Based Intrusion Detection System for the Internet of Things. CSR 2024: 1-8 - [i4]Naseem Khan, Kashif Ahmad, Aref Al-Tamimi, Mohammed M. Alani, Amine Bermak, Issa Khalil:
Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions. CoRR abs/2408.03335 (2024) - 2023
- [j19]Mohammed M. Alani:
An explainable efficient flow-based Industrial IoT intrusion detection system. Comput. Electr. Eng. 108: 108732 (2023) - [j18]Mohammed M. Alani, Atefeh Mashatan, Ali Miri:
XMal: A lightweight memory-based explainable obfuscated-malware detector. Comput. Secur. 133: 103409 (2023) - [j17]Mohammed M. Alani, Ali Ismail Awad, Ezedin Barka:
ARP-PROBE: An ARP spoofing detector for Internet of Things networks using explainable deep learning. Internet Things 23: 100861 (2023) - [j16]Mohammed M. Alani, Lara Mauri, Ernesto Damiani:
A two-stage cyber attack detection and classification system for smart grids. Internet Things 24: 100926 (2023) - [j15]Mohammed M. Alani, Ernesto Damiani:
XRecon: An Explainbale IoT Reconnaissance Attack Detection System Based on Ensemble Learning. Sensors 23(11): 5298 (2023) - [j14]Mohammed M. Alani, Ali Ismail Awad:
An Intelligent Two-Layer Intrusion Detection System for the Internet of Things. IEEE Trans. Ind. Informatics 19(1): 683-692 (2023) - [c15]Mohammed M. Alani, Atefeh Mashatan, Ali Miri:
Forensic Identification of Android Trojans Using Stacked Ensemble of Deep Neural Networks. ACNS Workshops 2023: 642-656 - [c14]Mohammed M. Alani, Atefeh Mashatan, Ali Miri:
Explainable Ensemble-Based Detection of Cyber Attacks on Internet of Medical Things. DASC/PiCom/CBDCom/CyberSciTech 2023: 609-614 - [c13]Mohammed M. Alani, Atefeh Mashatan, Ali Miri:
XMeDNN: An Explainable Deep Neural Network System for Intrusion Detection in Internet of Medical Things. ICISSP 2023: 144-151 - [c12]Mohammed M. Alani, Thar Baker:
A Survey of Smart Grid Intrusion Detection Datasets. Intelligent Environments (Workshops) 2023: 5-13 - [i3]Mohammed M. Alani, Atefeh Mashatan, Ali Miri:
Adversarial Explainability: Utilizing Explainable Machine Learning in Bypassing IoT Botnet Detection Systems. CoRR abs/2310.00070 (2023) - 2022
- [j13]Mohammed M. Alani, Ali Ismail Awad:
PAIRED: An Explainable Lightweight Android Malware Detection System. IEEE Access 10: 73214-73228 (2022) - [j12]Thar Baker, Muhammad Asim, Hezekiah Samwini, Nauman Shamim, Mohammed M. Alani, Rajkumar Buyya:
A blockchain-based Fog-oriented lightweight framework for smart public vehicular transportation systems. Comput. Networks 203: 108676 (2022) - [j11]Mohammed M. Alani, Hissam Tawfik:
PhishNot: A Cloud-Based Machine-Learning Approach to Phishing URL Detection. Comput. Networks 218: 109407 (2022) - [j10]Mohammed M. Alani:
BotStop : Packet-based efficient and explainable IoT botnet detection using machine learning. Comput. Commun. 193: 53-62 (2022) - [j9]Mohammed M. Alani, Ali Ismail Awad:
AdStop: Efficient flow-based mobile adware detection using machine learning. Comput. Secur. 117: 102718 (2022) - [j8]Abeer Abdullah Alsadhan, Abir Hussain, Panos Liatsis, Mohammed M. Alani, Hissam Tawfik, Phillip Kendrick, Hulya Francis:
Locally weighted classifiers for detection of neighbor discovery protocol distributed denial-of-service and replayed attacks. Trans. Emerg. Telecommun. Technol. 33(3) (2022) - [j7]Mohammed M. Alani, Ali Miri:
Towards an Explainable Universal Feature Set for IoT Intrusion Detection. Sensors 22(15): 5690 (2022) - [c11]Mohammed M. Alani:
IoTProtect: A Machine-Learning Based IoT Intrusion Detection System. CSP 2022: 61-65 - [c10]Mohammed M. Alani, Ernesto Damiani, Uttam Ghosh:
DeepIIoT: An Explainable Deep Learning Based Intrusion Detection System for Industrial IOT. ICDCS Workshops 2022: 169-174 - 2021
- [j6]Mohammed M. Alani:
Big data in cybersecurity: a survey of applications and future trends. J. Reliab. Intell. Environ. 7(2): 85-114 (2021) - [c9]Mohammed M. Alani:
Implementation-Oriented Feature Selection in UNSW-NB15 Intrusion Detection Dataset. ISDA 2021: 548-558 - 2020
- [j5]Mohammed M. Alani, Muath Alrammal, Munir Naveed:
Implementing IoT Lottery on Data Encryption Standard. J. Commun. 15(10): 735-740 (2020) - [j4]Hissam Tawfik, Jia Hu, Kevin Kam Fung Yuen, Mohammed M. Alani, Nektarios Georgalas:
Special issue on security, usability and sustainability of smart cities. J. Reliab. Intell. Environ. 6(1): 1 (2020) - [c8]Mohammed M. Alani:
On Recent Security Issues in Machine Learning. SoftCOM 2020: 1-6
2010 – 2019
- 2019
- [j3]Mohamed Alloghani, Mohammed M. Alani, Dhiya Al-Jumeily, Thar Baker, Jamila Mustafina, Abir Hussain, Ahmed J. Aljaaf:
A systematic review on the status and progress of homomorphic encryption technologies. J. Inf. Secur. Appl. 48 (2019) - [j2]Obinna Anya, Hissam Tawfik, Mohammed M. Alani, Jia Hu:
Cybersecurity design considerations for cross-boundary clinical decision support. J. Reliab. Intell. Environ. 5(2): 91-103 (2019) - [c7]Mohammed M. Alani:
Applications of machine learning in cryptography: a survey. ICCSP 2019: 23-27 - [i2]Mohammed M. Alani:
Applications of Machine Learning in Cryptography: A Survey. CoRR abs/1902.04109 (2019) - 2018
- [c6]Abeer Abdullah Alsadhan, Abir Hussain, Mohammed M. Alani:
Detecting NDP Distributed Denial of Service Attacks Using Machine Learning Algorithm Based on Flow-Based Representation. DeSE 2018: 134-140 - [c5]Mohammed M. Alani:
IoT Lotto: Utilizing IoT Devices in Brute-Force Attacks. ICIT 2018: 140-144 - [e1]Mohammed M. Alani, Hissam Tawfik, Mohammed Saeed, Obinna Anya:
Applications of Big Data Analytics, Trends, Issues, and Challenges. Springer 2018, ISBN 978-3-319-76471-9 [contents] - [i1]Mohammed M. Alani:
IoT Lotto: Utilizing IoT Devices in Brute-Force Attacks. CoRR abs/1812.03314 (2018) - 2017
- [b4]Mohammed M. Alani:
Guide to Cisco Routers Configuration - Becoming a Router Geek, Second Edition. Springer 2017, ISBN 978-3-319-54629-2, pp. 1-234 - [j1]Mohammed M. Alani:
Android Users Privacy Awareness Survey. Int. J. Interact. Mob. Technol. 11(3): 130-144 (2017) - [c4]Mohammed M. Alani:
Prioritizing Cloud Security Controls. AWICT 2017: 1:1-1:6 - 2016
- [b3]Mohammed M. Alani:
Elements of Cloud Computing Security - A Survey of Key Practicalities. Springer Briefs in Computer Science, Springer 2016, ISBN 978-3-319-41410-2, pp. 1-54 - 2014
- [b2]Mohammed M. Alani:
Guide to OSI and TCP/IP Models. Springer Briefs in Computer Science, Springer 2014, ISBN 978-3-319-05151-2, pp. 1-50 - [c3]Mohammed M. Alani:
MANET security: A survey. ICCSCE 2014: 559-564 - 2012
- [b1]Mohammed M. Alani:
Guide to Cisco Routers Configuration - Becoming a Router Geek. Springer Briefs in Computer Science, Springer 2012, ISBN 978-1-4471-4245-4, pp. I-X, 1-80 - [c2]Mohammed M. Alani:
Neuro-Cryptanalysis of DES and Triple-DES. ICONIP (5) 2012: 637-646 - [c1]Mohammed M. Alani:
Neuro-cryptanalysis of DES. WorldCIS 2012: 23-27
Coauthor Index
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