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Prof. Iman AlMomani
Prof. Iman AlMomani
Full Professor, Senior IEEE Member, Top 2% Scientists (Sandford), University of Jordan
Verified email at ju.edu.jo - Homepage
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
2952016
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
1492011
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
872016
Digitization of healthcare sector: A study on privacy and security concerns
M Paul, L Maglaras, MA Ferrag, I AlMomani
ICT Express, 2023
722023
Ransomware detection system for Android applications
S Alsoghyer, I Almomani
Electronics 8 (8), 868, 2019
702019
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
612021
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
602021
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
592021
A comprehensive analysis of the android permissions system
IM Almomani, A Al Khayer
Ieee access 8, 216671-216688, 2020
592020
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
562021
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
482009
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
452020
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
422021
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
392022
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
382022
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
382020
IoT botnet detection using salp swarm and ant lion hybrid optimization model
R Abu Khurma, I Almomani, I Aljarah
Symmetry 13 (8), 1377, 2021
362021
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
332011
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
282022
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
252018
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