Prof. Iman AlMomani

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Citations	1905	1619
h-index	22	21
i10-index	42	37

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Mousa Al-AkhrasAssociate Professor - The University of JordanVerified email at ju.edu.jo
Aala AlKhayerResearch Engineer, Security Engineering Lab (SEL), Prince Sultan UniversityVerified email at psu.edu.sa
Hossam FarisProfessor, The University of JordanVerified email at ju.edu.jo
Raneem QaddouraAssistant Professor of Artificial Intelligence and Data Science, Al Hussein Technical UniversityVerified email at htu.edu.jo
Leandros MaglarasProfessor of Cybersecurity, Edinburgh Napier UniversityVerified email at napier.ac.uk
Bassam KasasbehFaculty of Computing & Informatics, Al Hussein Technical UniversityVerified email at htu.edu.jo
Ibrahim AljarahProfessor of Big Data Mining and Computational Intelligence, The University of JordanVerified email at ju.edu.jo
Ala’ M. Al-ZoubiUniversity of GranadaVerified email at correo.ugr.es
Dr. Maha SaadehMiddlesex University Dubai, UAEVerified email at mdx.ac.ae
Mohanned AhmedResearch Engineer, Security Engineering Lab (SEL), Prince Sultan UniversityVerified email at psu.edu.sa
hamzeh aljawawdehZarqa UniversityVerified email at zu.edu.jo
Ala AburummanRochester Institute of TechnologyVerified email at rit.edu
Robert JohnProfessor of Operational Research and Computer Science, University of NottinghamVerified email at nottingham.ac.uk
Dr. Samer Atawneh (Docent / SMIEEE)Associate Professor, Saudi Electronic University, IEEE Senior MemberVerified email at seu.edu.sa
Mohammed AlawairdhiSaudi Electronic UniversityVerified email at seu.edu.sa
Azzam SleitProfessor of Computer Science, The University of JordanVerified email at ju.edu.jo
Maria HabibGranada University
Hussein ZedanProfessor

Prof. Iman AlMomani

Full Professor, Senior IEEE Member, Top 2% Scientists (Sandford), University of Jordan

Verified email at ju.edu.jo - Homepage

Cybersecurity Network Security Mobile Security Wireless networks Data mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
WSN-DS: A dataset for intrusion detection systems in wireless sensor networks I Almomani, B Al-Kasasbeh, M Al-Akhras Journal of Sensors 2016, 2016	308	2016
Ubiquitous GPS vehicle tracking and management system IM Almomani, NY Alkhalil, EM Ahmad, RM Jodeh 2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing …, 2011	150	2011
Digitization of healthcare sector: A study on privacy and security concerns M Paul, L Maglaras, MA Ferrag, I Almomani ICT Express 9 (4), 571-588, 2023	97	2023
Enhancing outpatient clinics management software by reducing patients’ waiting time I Almomani, A Alsarheed Journal of infection and public health 9 (6), 734-743, 2016	89	2016
Ransomware detection system for Android applications S Alsoghyer, I Almomani Electronics 8 (8), 868, 2019	72	2019
A multi-layer classification approach for intrusion detection in iot networks based on deep learning R Qaddoura, A M. Al-Zoubi, H Faris, I Almomani Sensors 21 (9), 2987, 2021	67	2021
A multi-stage classification approach for iot intrusion detection based on clustering with oversampling R Qaddoura, AM Al-Zoubi, I Almomani, H Faris Applied Sciences 11 (7), 3022, 2021	67	2021
Android ransomware detection based on a hybrid evolutionary approach in the context of highly imbalanced data I Almomani, R Qaddoura, M Habib, S Alsoghyer, A Al Khayer, I Aljarah, ... IEEE Access 9, 57674-57691, 2021	62	2021
A comprehensive analysis of the android permissions system IM Almomani, A Al Khayer Ieee access 8, 216671-216688, 2020	59	2020
Optical bit-plane-based 3D-JST cryptography algorithm with cascaded 2D-FrFT encryption for efficient and secure HEVC communication W El-Shafai, IM Almomani, A Alkhayer IEEE Access 9, 35004-35026, 2021	57	2021
On the effectiveness of application permissions for Android ransomware detection S Alsoghyer, I Almomani 2020 6th conference on data science and machine learning applications (CDMA …, 2020	49	2020
Non-intrusive speech quality prediction in VoIP networks using a neural network approach M Al-Akhras, H Zedan, R John, I Almomani Neurocomputing 72 (10-12), 2595-2608, 2009	49	2009
Optimizing extreme learning machines using chains of salps for efficient android ransomware detection H Faris, M Habib, I Almomani, M Eshtay, I Aljarah Applied Sciences 10 (11), 3706, 2020	44	2020
An automated vision-based deep learning model for efficient detection of android malware attacks I Almomani, A Alkhayer, W El-Shafai IEEE Access 10, 2700-2720, 2022	43	2022
Visualized malware multi-classification framework using fine-tuned CNN-based transfer learning models W El-Shafai, I Almomani, A AlKhayer Applied Sciences 11 (14), 6446, 2021	43	2021
A federated learning framework for cyberattack detection in vehicular sensor networks M Driss, I Almomani, Z e Huma, J Ahmad Complex & Intelligent Systems 8 (5), 4221-4235, 2022	38	2022
IoT botnet detection using salp swarm and ant lion hybrid optimization model R Abu Khurma, I Almomani, I Aljarah Symmetry 13 (8), 1377, 2021	37	2021
FEAR: Fuzzy-based energy aware routing protocol for wireless sensor networks IM ALMomani, MK Saadeh International Journal of Communications, Network and System Sciences 4 (06), 403, 2011	33	2011
A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks SB Atitallah, M Driss, I Almomani Sensors 22 (11), 4302, 2022	32	2022
Efficient Denial of Service Attacks Detection in Wireless Sensor Networks I Almomani, M Alenezi Journal of Information Science and Engineering 34 (4), 977-1000, 2018	26	2018

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