Prof. Iman AlMomani 个人学术档案

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	总计	2019 年至今
引用	2128	1840
h 指数	24	23
i10 指数	44	38

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Mousa Al-AkhrasAssociate Professor - The University of Jordan在 ju.edu.jo 的电子邮件经过验证
Walid El-Shafai (SMIEEE)Senior Researcher at Prince Sultan University and Assistant Professor at FEE, Menoufia University在 el-eng.menofia.edu.eg 的电子邮件经过验证
Aala AlKhayerResearch Engineer, Security Engineering Lab (SEL), Prince Sultan University在 psu.edu.sa 的电子邮件经过验证
Hossam FarisProfessor, The University of Jordan在 ju.edu.jo 的电子邮件经过验证
Raneem QaddouraAssistant Professor of Artificial Intelligence and Data Science, Al Hussein Technical University在 htu.edu.jo 的电子邮件经过验证
Leandros MaglarasProfessor of Cybersecurity, Edinburgh Napier University在 napier.ac.uk 的电子邮件经过验证
Bassam KasasbehFaculty of Computing & Informatics, Al Hussein Technical University在 htu.edu.jo 的电子邮件经过验证
Ibrahim AljarahProfessor of Big Data Mining and Computational Intelligence, The University of Jordan在 ju.edu.jo 的电子邮件经过验证
Mohamed Amine Ferrag, PhD, SIEEETeam Leader, Technology Innovation Institute在 ieee.org 的电子邮件经过验证
Ala’ M. Al-ZoubiUniversity of Granada在 correo.ugr.es 的电子邮件经过验证
Mohanned AhmedResearch Engineer, Security Engineering Lab (SEL), Prince Sultan University在 psu.edu.sa 的电子邮件经过验证
Dr. Maha SaadehMiddlesex University Dubai, UAE在 mdx.ac.ae 的电子邮件经过验证
hamzeh aljawawdehZarqa University在 zu.edu.jo 的电子邮件经过验证
Ala AburummanRochester Institute of Technology在 rit.edu 的电子邮件经过验证
Robert JohnProfessor of Operational Research and Computer Science, University of Nottingham在 nottingham.ac.uk 的电子邮件经过验证
Dr. Samer Atawneh (Docent / SMIEEE)Associate Professor, Saudi Electronic University, IEEE Senior Member在 seu.edu.sa 的电子邮件经过验证
Mohammed AlawairdhiSaudi Electronic University在 seu.edu.sa 的电子邮件经过验证
Azzam SleitProfessor of Computer Science, The University of Jordan在 ju.edu.jo 的电子邮件经过验证
Maria HabibGranada University
Hussein ZedanProfessor

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Prof. Iman AlMomani

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

在 ju.edu.jo 的电子邮件经过验证 - 首页

Cybersecurity Network&Mobile Security Security Maturity Models Wireless networks Data mining


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
WSN‐DS: a dataset for intrusion detection systems in wireless sensor networks I Almomani, B Al-Kasasbeh, M Al-Akhras Journal of Sensors 2016 (1), 4731953, 2016	333	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	153	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	152	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	94	2016
Ransomware detection system for Android applications S Alsoghyer, I Almomani Electronics 8 (8), 868, 2019	79	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	78	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	76	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	75	2021
A comprehensive analysis of the android permissions system IM Almomani, A Al Khayer Ieee access 8, 216671-216688, 2020	68	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
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	51	2022
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	50	2020
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	49	2022
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	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
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
IoT botnet detection using salp swarm and ant lion hybrid optimization model R Abu Khurma, I Almomani, I Aljarah Symmetry 13 (8), 1377, 2021	40	2021
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	39	2022
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
Cybersecurity maturity assessment framework for higher education institutions in Saudi Arabia I Almomani, M Ahmed, L Maglaras PeerJ Computer Science 7, 1-26, 2021	27	2021

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